Test Results Summary Service

renaissance-movie-lens_0

[2025-05-22T22:05:41.379Z] Running test renaissance-movie-lens_0 ... [2025-05-22T22:05:41.379Z] =============================================== [2025-05-22T22:05:41.379Z] renaissance-movie-lens_0 Start Time: Thu May 22 18:05:41 2025 Epoch Time (ms): 1747951541078 [2025-05-22T22:05:41.379Z] variation: NoOptions [2025-05-22T22:05:41.379Z] JVM_OPTIONS: [2025-05-22T22:05:41.379Z] { \ [2025-05-22T22:05:41.379Z] echo ""; echo "TEST SETUP:"; \ [2025-05-22T22:05:41.379Z] echo "Nothing to be done for setup."; \ [2025-05-22T22:05:41.379Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17479510226563/renaissance-movie-lens_0"; \ [2025-05-22T22:05:41.379Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17479510226563/renaissance-movie-lens_0"; \ [2025-05-22T22:05:41.379Z] echo ""; echo "TESTING:"; \ [2025-05-22T22:05:41.379Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17479510226563/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-22T22:05:41.379Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17479510226563/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-22T22:05:41.379Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-22T22:05:41.379Z] echo "Nothing to be done for teardown."; \ [2025-05-22T22:05:41.379Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17479510226563/TestTargetResult"; [2025-05-22T22:05:41.379Z] [2025-05-22T22:05:41.379Z] TEST SETUP: [2025-05-22T22:05:41.379Z] Nothing to be done for setup. [2025-05-22T22:05:41.379Z] [2025-05-22T22:05:41.379Z] TESTING: [2025-05-22T22:05:41.765Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-05-22T22:05:41.765Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17479510226563/renaissance-movie-lens_0/launcher-180541-11833635128090210502/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-05-22T22:05:41.765Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-05-22T22:05:41.765Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-05-22T22:05:45.076Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-05-22T22:05:49.342Z] 18:05:48.454 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-05-22T22:05:50.216Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-22T22:05:50.610Z] Training: 60056, validation: 20285, test: 19854 [2025-05-22T22:05:50.610Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-22T22:05:50.610Z] GC before operation: completed in 71.898 ms, heap usage 173.445 MB -> 75.633 MB. [2025-05-22T22:05:53.932Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:05:55.827Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:05:58.398Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:06:00.310Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:06:01.677Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:06:02.562Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:06:03.979Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:06:04.836Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:06:04.836Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-22T22:06:04.836Z] The best model improves the baseline by 14.52%. [2025-05-22T22:06:04.836Z] Top recommended movies for user id 72: [2025-05-22T22:06:04.836Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-22T22:06:04.836Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-22T22:06:04.836Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-22T22:06:04.836Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-22T22:06:04.836Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-22T22:06:04.836Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (14485.598 ms) ====== [2025-05-22T22:06:04.836Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-22T22:06:05.236Z] GC before operation: completed in 91.376 ms, heap usage 549.778 MB -> 94.974 MB. [2025-05-22T22:06:06.584Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:06:08.487Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:06:09.891Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:06:11.829Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:06:12.652Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:06:13.542Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:06:14.893Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:06:15.734Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:06:15.734Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-22T22:06:15.734Z] The best model improves the baseline by 14.52%. [2025-05-22T22:06:15.734Z] Top recommended movies for user id 72: [2025-05-22T22:06:15.734Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-22T22:06:15.734Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-22T22:06:15.734Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-22T22:06:15.734Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-22T22:06:15.734Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-22T22:06:15.734Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (10746.589 ms) ====== [2025-05-22T22:06:15.734Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-22T22:06:15.734Z] GC before operation: completed in 75.190 ms, heap usage 253.321 MB -> 88.188 MB. [2025-05-22T22:06:17.643Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:06:18.981Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:06:20.336Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:06:21.673Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:06:22.562Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:06:23.393Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:06:24.219Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:06:25.059Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:06:25.059Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-22T22:06:25.059Z] The best model improves the baseline by 14.52%. [2025-05-22T22:06:25.059Z] Top recommended movies for user id 72: [2025-05-22T22:06:25.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-22T22:06:25.059Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-22T22:06:25.059Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-22T22:06:25.060Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-22T22:06:25.060Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-22T22:06:25.060Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (9174.186 ms) ====== [2025-05-22T22:06:25.060Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-22T22:06:25.060Z] GC before operation: completed in 58.280 ms, heap usage 175.012 MB -> 88.765 MB. [2025-05-22T22:06:26.404Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:06:27.732Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:06:29.062Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:06:30.401Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:06:31.238Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:06:32.082Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:06:32.918Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:06:33.759Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:06:34.144Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-22T22:06:34.144Z] The best model improves the baseline by 14.52%. [2025-05-22T22:06:34.144Z] Top recommended movies for user id 72: [2025-05-22T22:06:34.144Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-22T22:06:34.144Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-22T22:06:34.144Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-22T22:06:34.144Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-22T22:06:34.144Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-22T22:06:34.144Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (9006.402 ms) ====== [2025-05-22T22:06:34.144Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-22T22:06:34.144Z] GC before operation: completed in 64.079 ms, heap usage 186.073 MB -> 89.069 MB. [2025-05-22T22:06:35.487Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:06:36.829Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:06:38.171Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:06:39.504Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:06:40.335Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:06:41.158Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:06:41.990Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:06:42.834Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:06:42.834Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-22T22:06:42.834Z] The best model improves the baseline by 14.52%. [2025-05-22T22:06:42.834Z] Top recommended movies for user id 72: [2025-05-22T22:06:42.834Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-22T22:06:42.834Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-22T22:06:42.834Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-22T22:06:42.834Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-22T22:06:42.834Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-22T22:06:42.834Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (8687.724 ms) ====== [2025-05-22T22:06:42.834Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-22T22:06:42.834Z] GC before operation: completed in 51.522 ms, heap usage 374.133 MB -> 89.283 MB. [2025-05-22T22:06:44.166Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:06:45.488Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:06:46.810Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:06:48.160Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:06:48.557Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:06:49.393Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:06:50.216Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:06:50.631Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:06:51.037Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-22T22:06:51.037Z] The best model improves the baseline by 14.52%. [2025-05-22T22:06:51.037Z] Top recommended movies for user id 72: [2025-05-22T22:06:51.037Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-22T22:06:51.037Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-22T22:06:51.037Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-22T22:06:51.037Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-22T22:06:51.037Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-22T22:06:51.037Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (8048.516 ms) ====== [2025-05-22T22:06:51.037Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-22T22:06:51.037Z] GC before operation: completed in 47.862 ms, heap usage 172.555 MB -> 89.344 MB. [2025-05-22T22:06:52.361Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:06:53.693Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:06:55.038Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:06:56.395Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:06:57.228Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:06:57.627Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:06:58.464Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:06:58.857Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:06:59.242Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-22T22:06:59.243Z] The best model improves the baseline by 14.52%. [2025-05-22T22:06:59.243Z] Top recommended movies for user id 72: [2025-05-22T22:06:59.243Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-22T22:06:59.243Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-22T22:06:59.243Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-22T22:06:59.243Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-22T22:06:59.243Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-22T22:06:59.243Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (8120.488 ms) ====== [2025-05-22T22:06:59.243Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-22T22:06:59.243Z] GC before operation: completed in 47.538 ms, heap usage 225.568 MB -> 89.392 MB. [2025-05-22T22:07:00.091Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:07:01.466Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:07:02.850Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:07:04.254Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:07:05.123Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:07:05.539Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:07:06.397Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:07:07.254Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:07:07.254Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-22T22:07:07.254Z] The best model improves the baseline by 14.52%. [2025-05-22T22:07:07.254Z] Top recommended movies for user id 72: [2025-05-22T22:07:07.254Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-22T22:07:07.254Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-22T22:07:07.254Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-22T22:07:07.254Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-22T22:07:07.254Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-22T22:07:07.254Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (8047.936 ms) ====== [2025-05-22T22:07:07.254Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-22T22:07:07.254Z] GC before operation: completed in 50.226 ms, heap usage 209.669 MB -> 89.716 MB. [2025-05-22T22:07:08.633Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:07:09.963Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:07:11.304Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:07:12.645Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:07:13.470Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:07:14.322Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:07:14.720Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:07:15.550Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:07:15.935Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-22T22:07:15.935Z] The best model improves the baseline by 14.52%. [2025-05-22T22:07:15.935Z] Top recommended movies for user id 72: [2025-05-22T22:07:15.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-22T22:07:15.935Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-22T22:07:15.935Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-22T22:07:15.935Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-22T22:07:15.935Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-22T22:07:15.935Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (8531.097 ms) ====== [2025-05-22T22:07:15.935Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-22T22:07:15.935Z] GC before operation: completed in 46.911 ms, heap usage 145.778 MB -> 89.325 MB. [2025-05-22T22:07:17.266Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:07:18.108Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:07:19.453Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:07:20.790Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:07:21.661Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:07:22.054Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:07:22.890Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:07:23.735Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:07:23.735Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-22T22:07:23.735Z] The best model improves the baseline by 14.52%. [2025-05-22T22:07:23.735Z] Top recommended movies for user id 72: [2025-05-22T22:07:23.735Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-22T22:07:23.735Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-22T22:07:23.735Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-22T22:07:23.735Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-22T22:07:23.735Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-22T22:07:23.735Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (7937.575 ms) ====== [2025-05-22T22:07:23.735Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-22T22:07:23.735Z] GC before operation: completed in 50.527 ms, heap usage 335.467 MB -> 89.993 MB. [2025-05-22T22:07:25.065Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:07:26.515Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:07:27.859Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:07:29.215Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:07:30.049Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:07:30.876Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:07:31.700Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:07:32.523Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:07:32.523Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-22T22:07:32.523Z] The best model improves the baseline by 14.52%. [2025-05-22T22:07:32.523Z] Top recommended movies for user id 72: [2025-05-22T22:07:32.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-22T22:07:32.523Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-22T22:07:32.523Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-22T22:07:32.523Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-22T22:07:32.523Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-22T22:07:32.523Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (8682.906 ms) ====== [2025-05-22T22:07:32.523Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-22T22:07:32.523Z] GC before operation: completed in 67.296 ms, heap usage 233.000 MB -> 91.220 MB. [2025-05-22T22:07:33.855Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:07:34.695Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:07:36.039Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:07:36.865Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:07:37.259Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:07:38.093Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:07:38.951Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:07:39.336Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:07:39.337Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-22T22:07:39.337Z] The best model improves the baseline by 14.52%. [2025-05-22T22:07:39.738Z] Top recommended movies for user id 72: [2025-05-22T22:07:39.738Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-22T22:07:39.738Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-22T22:07:39.738Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-22T22:07:39.738Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-22T22:07:39.738Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-22T22:07:39.738Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (6908.875 ms) ====== [2025-05-22T22:07:39.738Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-22T22:07:39.738Z] GC before operation: completed in 49.516 ms, heap usage 227.383 MB -> 89.580 MB. [2025-05-22T22:07:40.571Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:07:41.935Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:07:42.770Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:07:43.596Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:07:44.437Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:07:44.824Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:07:45.657Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:07:46.067Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:07:46.067Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-22T22:07:46.067Z] The best model improves the baseline by 14.52%. [2025-05-22T22:07:46.067Z] Top recommended movies for user id 72: [2025-05-22T22:07:46.067Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-22T22:07:46.067Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-22T22:07:46.067Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-22T22:07:46.067Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-22T22:07:46.067Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-22T22:07:46.067Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (6594.584 ms) ====== [2025-05-22T22:07:46.067Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-22T22:07:46.067Z] GC before operation: completed in 46.352 ms, heap usage 150.375 MB -> 89.764 MB. [2025-05-22T22:07:47.414Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:07:48.250Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:07:49.590Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:07:50.424Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:07:50.817Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:07:51.644Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:07:52.480Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:07:52.875Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:07:53.270Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-22T22:07:53.270Z] The best model improves the baseline by 14.52%. [2025-05-22T22:07:53.270Z] Top recommended movies for user id 72: [2025-05-22T22:07:53.270Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-22T22:07:53.270Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-22T22:07:53.270Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-22T22:07:53.270Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-22T22:07:53.270Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-22T22:07:53.270Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (7009.529 ms) ====== [2025-05-22T22:07:53.270Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-22T22:07:53.270Z] GC before operation: completed in 47.594 ms, heap usage 159.914 MB -> 89.654 MB. [2025-05-22T22:07:54.609Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:07:55.946Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:07:57.282Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:07:58.613Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:07:59.453Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:08:00.303Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:08:01.167Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:08:01.572Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:08:01.978Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-22T22:08:01.978Z] The best model improves the baseline by 14.52%. [2025-05-22T22:08:01.978Z] Top recommended movies for user id 72: [2025-05-22T22:08:01.978Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-22T22:08:01.978Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-22T22:08:01.978Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-22T22:08:01.978Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-22T22:08:01.978Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-22T22:08:01.978Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (8608.131 ms) ====== [2025-05-22T22:08:01.978Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-22T22:08:01.978Z] GC before operation: completed in 59.607 ms, heap usage 147.883 MB -> 89.705 MB. [2025-05-22T22:08:03.384Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:08:04.752Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:08:06.130Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:08:06.978Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:08:07.398Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:08:08.272Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:08:09.109Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:08:09.507Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:08:09.894Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-22T22:08:09.894Z] The best model improves the baseline by 14.52%. [2025-05-22T22:08:09.894Z] Top recommended movies for user id 72: [2025-05-22T22:08:09.894Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-22T22:08:09.894Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-22T22:08:09.894Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-22T22:08:09.894Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-22T22:08:09.894Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-22T22:08:09.894Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (7805.315 ms) ====== [2025-05-22T22:08:09.894Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-22T22:08:09.894Z] GC before operation: completed in 44.650 ms, heap usage 187.058 MB -> 89.617 MB. [2025-05-22T22:08:11.245Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:08:12.075Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:08:13.402Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:08:14.228Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:08:15.070Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:08:15.902Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:08:16.731Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:08:17.571Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:08:17.571Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-22T22:08:17.571Z] The best model improves the baseline by 14.52%. [2025-05-22T22:08:17.571Z] Top recommended movies for user id 72: [2025-05-22T22:08:17.571Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-22T22:08:17.571Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-22T22:08:17.571Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-22T22:08:17.571Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-22T22:08:17.571Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-22T22:08:17.571Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (7719.804 ms) ====== [2025-05-22T22:08:17.571Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-22T22:08:17.571Z] GC before operation: completed in 48.349 ms, heap usage 425.774 MB -> 90.193 MB. [2025-05-22T22:08:18.940Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:08:19.788Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:08:21.121Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:08:22.465Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:08:22.851Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:08:23.675Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:08:24.500Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:08:24.891Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:08:25.297Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-22T22:08:25.297Z] The best model improves the baseline by 14.52%. [2025-05-22T22:08:25.297Z] Top recommended movies for user id 72: [2025-05-22T22:08:25.297Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-22T22:08:25.297Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-22T22:08:25.297Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-22T22:08:25.297Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-22T22:08:25.297Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-22T22:08:25.297Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (7642.013 ms) ====== [2025-05-22T22:08:25.297Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-22T22:08:25.297Z] GC before operation: completed in 45.862 ms, heap usage 162.914 MB -> 89.595 MB. [2025-05-22T22:08:26.639Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:08:27.971Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:08:29.375Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:08:30.210Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:08:31.042Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:08:31.877Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:08:32.265Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:08:33.111Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:08:33.111Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-22T22:08:33.111Z] The best model improves the baseline by 14.52%. [2025-05-22T22:08:33.111Z] Top recommended movies for user id 72: [2025-05-22T22:08:33.111Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-22T22:08:33.111Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-22T22:08:33.111Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-22T22:08:33.111Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-22T22:08:33.111Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-22T22:08:33.111Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (7883.688 ms) ====== [2025-05-22T22:08:33.111Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-22T22:08:33.111Z] GC before operation: completed in 46.459 ms, heap usage 178.805 MB -> 89.685 MB. [2025-05-22T22:08:34.451Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T22:08:35.791Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T22:08:37.148Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T22:08:37.989Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T22:08:38.824Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T22:08:39.223Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T22:08:40.053Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T22:08:40.894Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T22:08:40.894Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-22T22:08:40.894Z] The best model improves the baseline by 14.52%. [2025-05-22T22:08:41.281Z] Top recommended movies for user id 72: [2025-05-22T22:08:41.281Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-22T22:08:41.281Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-22T22:08:41.281Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-22T22:08:41.281Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-22T22:08:41.281Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-22T22:08:41.281Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (7953.175 ms) ====== [2025-05-22T22:08:41.281Z] ----------------------------------- [2025-05-22T22:08:41.281Z] renaissance-movie-lens_0_PASSED [2025-05-22T22:08:41.281Z] ----------------------------------- [2025-05-22T22:08:41.281Z] [2025-05-22T22:08:41.281Z] TEST TEARDOWN: [2025-05-22T22:08:41.281Z] Nothing to be done for teardown. [2025-05-22T22:08:41.281Z] renaissance-movie-lens_0 Finish Time: Thu May 22 18:08:41 2025 Epoch Time (ms): 1747951721142