[2025-10-21T23:51:20.983Z] Running test renaissance-movie-lens_0 ... [2025-10-21T23:51:20.983Z] =============================================== [2025-10-21T23:51:20.983Z] renaissance-movie-lens_0 Start Time: Tue Oct 21 19:51:20 2025 Epoch Time (ms): 1761090680652 [2025-10-21T23:51:20.983Z] variation: NoOptions [2025-10-21T23:51:20.983Z] JVM_OPTIONS: [2025-10-21T23:51:20.983Z] { \ [2025-10-21T23:51:20.983Z] echo ""; echo "TEST SETUP:"; \ [2025-10-21T23:51:20.983Z] echo "Nothing to be done for setup."; \ [2025-10-21T23:51:20.983Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17610901788369/renaissance-movie-lens_0"; \ [2025-10-21T23:51:20.983Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17610901788369/renaissance-movie-lens_0"; \ [2025-10-21T23:51:20.983Z] echo ""; echo "TESTING:"; \ [2025-10-21T23:51:20.983Z] "/Users/admin/workspace/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17610901788369/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-21T23:51:20.983Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17610901788369/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-21T23:51:20.983Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-21T23:51:20.983Z] echo "Nothing to be done for teardown."; \ [2025-10-21T23:51:20.984Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17610901788369/TestTargetResult"; [2025-10-21T23:51:20.984Z] [2025-10-21T23:51:20.984Z] TEST SETUP: [2025-10-21T23:51:20.984Z] Nothing to be done for setup. [2025-10-21T23:51:20.984Z] [2025-10-21T23:51:20.984Z] TESTING: [2025-10-21T23:51:23.351Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-10-21T23:51:25.756Z] 19:51:25.237 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-10-21T23:51:26.553Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-21T23:51:26.553Z] Training: 60056, validation: 20285, test: 19854 [2025-10-21T23:51:26.553Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-21T23:51:26.553Z] GC before operation: completed in 52.702 ms, heap usage 220.996 MB -> 75.783 MB. [2025-10-21T23:51:29.662Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-21T23:51:30.874Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-21T23:51:32.628Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-21T23:51:33.852Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-21T23:51:34.599Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-21T23:51:35.356Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-21T23:51:36.119Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-21T23:51:36.879Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-21T23:51:37.234Z] 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. [2025-10-21T23:51:37.234Z] The best model improves the baseline by 14.52%. [2025-10-21T23:51:37.234Z] Top recommended movies for user id 72: [2025-10-21T23:51:37.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-21T23:51:37.234Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-21T23:51:37.234Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-21T23:51:37.234Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-21T23:51:37.234Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-21T23:51:37.234Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (10602.232 ms) ====== [2025-10-21T23:51:37.234Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-21T23:51:37.234Z] GC before operation: completed in 47.869 ms, heap usage 169.080 MB -> 88.613 MB. [2025-10-21T23:51:38.457Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-21T23:51:39.672Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-21T23:51:40.890Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-21T23:51:42.111Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-21T23:51:42.883Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-21T23:51:43.254Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-21T23:51:44.078Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-21T23:51:44.853Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-21T23:51:44.853Z] 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. [2025-10-21T23:51:44.853Z] The best model improves the baseline by 14.52%. [2025-10-21T23:51:45.209Z] Top recommended movies for user id 72: [2025-10-21T23:51:45.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-21T23:51:45.209Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-21T23:51:45.209Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-21T23:51:45.209Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-21T23:51:45.209Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-21T23:51:45.209Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (7764.508 ms) ====== [2025-10-21T23:51:45.209Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-21T23:51:45.209Z] GC before operation: completed in 44.369 ms, heap usage 225.025 MB -> 88.405 MB. [2025-10-21T23:51:46.439Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-21T23:51:47.193Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-21T23:51:48.417Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-21T23:51:49.633Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-21T23:51:50.396Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-21T23:51:50.761Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-21T23:51:51.512Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-21T23:51:52.285Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-21T23:51:52.285Z] 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. [2025-10-21T23:51:52.285Z] The best model improves the baseline by 14.52%. [2025-10-21T23:51:52.285Z] Top recommended movies for user id 72: [2025-10-21T23:51:52.285Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-21T23:51:52.285Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-21T23:51:52.285Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-21T23:51:52.285Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-21T23:51:52.285Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-21T23:51:52.285Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (7241.599 ms) ====== [2025-10-21T23:51:52.285Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-21T23:51:52.285Z] GC before operation: completed in 44.170 ms, heap usage 267.140 MB -> 89.185 MB. [2025-10-21T23:51:53.517Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-21T23:51:54.751Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-21T23:51:55.530Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-21T23:51:56.809Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-21T23:51:57.593Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-21T23:51:57.950Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-21T23:51:58.709Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-21T23:51:59.472Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-21T23:51:59.472Z] 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. [2025-10-21T23:51:59.472Z] The best model improves the baseline by 14.52%. [2025-10-21T23:51:59.472Z] Top recommended movies for user id 72: [2025-10-21T23:51:59.472Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-21T23:51:59.472Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-21T23:51:59.472Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-21T23:51:59.472Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-21T23:51:59.472Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-21T23:51:59.472Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (7089.867 ms) ====== [2025-10-21T23:51:59.472Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-21T23:51:59.472Z] GC before operation: completed in 45.833 ms, heap usage 409.905 MB -> 89.630 MB. [2025-10-21T23:52:00.704Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-21T23:52:01.961Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-21T23:52:02.742Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-21T23:52:03.997Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-21T23:52:04.370Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-21T23:52:05.129Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-21T23:52:05.886Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-21T23:52:06.246Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-21T23:52:06.247Z] 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. [2025-10-21T23:52:06.247Z] The best model improves the baseline by 14.52%. [2025-10-21T23:52:06.612Z] Top recommended movies for user id 72: [2025-10-21T23:52:06.612Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-21T23:52:06.612Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-21T23:52:06.612Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-21T23:52:06.612Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-21T23:52:06.612Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-21T23:52:06.612Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (6930.148 ms) ====== [2025-10-21T23:52:06.612Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-21T23:52:06.612Z] GC before operation: completed in 47.504 ms, heap usage 205.162 MB -> 91.506 MB. [2025-10-21T23:52:07.379Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-21T23:52:08.616Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-21T23:52:09.376Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-21T23:52:10.610Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-21T23:52:11.385Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-21T23:52:11.741Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-21T23:52:12.493Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-21T23:52:12.843Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-21T23:52:13.207Z] 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. [2025-10-21T23:52:13.207Z] The best model improves the baseline by 14.52%. [2025-10-21T23:52:13.207Z] Top recommended movies for user id 72: [2025-10-21T23:52:13.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-21T23:52:13.207Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-21T23:52:13.207Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-21T23:52:13.207Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-21T23:52:13.207Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-21T23:52:13.207Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (6659.993 ms) ====== [2025-10-21T23:52:13.207Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-21T23:52:13.207Z] GC before operation: completed in 49.147 ms, heap usage 278.099 MB -> 89.776 MB. [2025-10-21T23:52:14.439Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-21T23:52:15.661Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-21T23:52:16.441Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-21T23:52:17.660Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-21T23:52:18.025Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-21T23:52:18.788Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-21T23:52:19.543Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-21T23:52:20.295Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-21T23:52:20.295Z] 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. [2025-10-21T23:52:20.295Z] The best model improves the baseline by 14.52%. [2025-10-21T23:52:20.296Z] Top recommended movies for user id 72: [2025-10-21T23:52:20.296Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-21T23:52:20.296Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-21T23:52:20.296Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-21T23:52:20.296Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-21T23:52:20.296Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-21T23:52:20.296Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (7089.674 ms) ====== [2025-10-21T23:52:20.296Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-21T23:52:20.296Z] GC before operation: completed in 45.161 ms, heap usage 154.696 MB -> 89.585 MB. [2025-10-21T23:52:21.521Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-21T23:52:22.280Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-21T23:52:23.500Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-21T23:52:24.746Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-21T23:52:25.096Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-21T23:52:25.851Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-21T23:52:26.630Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-21T23:52:26.997Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-21T23:52:26.997Z] 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. [2025-10-21T23:52:26.997Z] The best model improves the baseline by 14.52%. [2025-10-21T23:52:27.352Z] Top recommended movies for user id 72: [2025-10-21T23:52:27.352Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-21T23:52:27.352Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-21T23:52:27.352Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-21T23:52:27.352Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-21T23:52:27.352Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-21T23:52:27.352Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (6821.384 ms) ====== [2025-10-21T23:52:27.352Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-21T23:52:27.352Z] GC before operation: completed in 45.523 ms, heap usage 269.917 MB -> 92.201 MB. [2025-10-21T23:52:28.571Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-21T23:52:29.328Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-21T23:52:30.552Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-21T23:52:31.307Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-21T23:52:32.055Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-21T23:52:32.837Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-21T23:52:33.188Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-21T23:52:34.176Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-21T23:52:34.176Z] 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. [2025-10-21T23:52:34.176Z] The best model improves the baseline by 14.52%. [2025-10-21T23:52:34.176Z] Top recommended movies for user id 72: [2025-10-21T23:52:34.176Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-21T23:52:34.176Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-21T23:52:34.176Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-21T23:52:34.176Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-21T23:52:34.176Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-21T23:52:34.176Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (6865.293 ms) ====== [2025-10-21T23:52:34.176Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-21T23:52:34.176Z] GC before operation: completed in 49.992 ms, heap usage 271.768 MB -> 96.870 MB. [2025-10-21T23:52:35.420Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-21T23:52:36.186Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-21T23:52:37.419Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-21T23:52:38.184Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-21T23:52:38.943Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-21T23:52:39.697Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-21T23:52:40.056Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-21T23:52:40.808Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-21T23:52:40.808Z] 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. [2025-10-21T23:52:40.808Z] The best model improves the baseline by 14.52%. [2025-10-21T23:52:41.177Z] Top recommended movies for user id 72: [2025-10-21T23:52:41.177Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-21T23:52:41.177Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-21T23:52:41.177Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-21T23:52:41.177Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-21T23:52:41.177Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-21T23:52:41.177Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (6867.045 ms) ====== [2025-10-21T23:52:41.177Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-21T23:52:41.177Z] GC before operation: completed in 48.653 ms, heap usage 456.828 MB -> 93.389 MB. [2025-10-21T23:52:41.980Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-21T23:52:43.212Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-21T23:52:44.444Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-21T23:52:45.209Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-21T23:52:45.965Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-21T23:52:46.323Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-21T23:52:47.084Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-21T23:52:47.844Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-21T23:52:47.844Z] 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. [2025-10-21T23:52:47.844Z] The best model improves the baseline by 14.52%. [2025-10-21T23:52:47.844Z] Top recommended movies for user id 72: [2025-10-21T23:52:47.844Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-21T23:52:47.844Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-21T23:52:47.844Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-21T23:52:47.844Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-21T23:52:47.844Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-21T23:52:47.844Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (6756.733 ms) ====== [2025-10-21T23:52:47.844Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-21T23:52:47.844Z] GC before operation: completed in 45.953 ms, heap usage 165.282 MB -> 94.052 MB. [2025-10-21T23:52:49.074Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-21T23:52:49.842Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-21T23:52:51.067Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-21T23:52:51.823Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-21T23:52:52.578Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-21T23:52:52.942Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-21T23:52:53.694Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-21T23:52:54.459Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-21T23:52:54.459Z] 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. [2025-10-21T23:52:54.459Z] The best model improves the baseline by 14.52%. [2025-10-21T23:52:54.459Z] Top recommended movies for user id 72: [2025-10-21T23:52:54.459Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-21T23:52:54.459Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-21T23:52:54.459Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-21T23:52:54.459Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-21T23:52:54.459Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-21T23:52:54.459Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (6651.023 ms) ====== [2025-10-21T23:52:54.459Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-21T23:52:54.459Z] GC before operation: completed in 51.352 ms, heap usage 471.976 MB -> 90.269 MB. [2025-10-21T23:52:55.492Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-21T23:52:56.806Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-21T23:52:57.579Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-21T23:52:58.812Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-21T23:52:59.200Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-21T23:52:59.567Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-21T23:53:00.322Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-21T23:53:01.109Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-21T23:53:01.109Z] 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. [2025-10-21T23:53:01.109Z] The best model improves the baseline by 14.52%. [2025-10-21T23:53:01.109Z] Top recommended movies for user id 72: [2025-10-21T23:53:01.109Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-21T23:53:01.109Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-21T23:53:01.109Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-21T23:53:01.109Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-21T23:53:01.109Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-21T23:53:01.109Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (6589.747 ms) ====== [2025-10-21T23:53:01.109Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-21T23:53:01.109Z] GC before operation: completed in 46.812 ms, heap usage 117.539 MB -> 90.999 MB. [2025-10-21T23:53:02.374Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-21T23:53:03.152Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-21T23:53:04.408Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-21T23:53:05.180Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-21T23:53:05.936Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-21T23:53:06.296Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-21T23:53:07.057Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-21T23:53:07.827Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-21T23:53:07.827Z] 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. [2025-10-21T23:53:07.827Z] The best model improves the baseline by 14.52%. [2025-10-21T23:53:07.827Z] Top recommended movies for user id 72: [2025-10-21T23:53:07.827Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-21T23:53:07.827Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-21T23:53:07.827Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-21T23:53:07.827Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-21T23:53:07.827Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-21T23:53:07.827Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (6631.790 ms) ====== [2025-10-21T23:53:07.827Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-21T23:53:07.827Z] GC before operation: completed in 45.024 ms, heap usage 237.384 MB -> 89.718 MB. [2025-10-21T23:53:09.065Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-21T23:53:09.823Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-21T23:53:11.063Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-21T23:53:11.817Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-21T23:53:12.580Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-21T23:53:12.944Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-21T23:53:13.714Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-21T23:53:14.485Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-21T23:53:14.485Z] 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. [2025-10-21T23:53:14.485Z] The best model improves the baseline by 14.52%. [2025-10-21T23:53:14.485Z] Top recommended movies for user id 72: [2025-10-21T23:53:14.485Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-21T23:53:14.485Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-21T23:53:14.485Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-21T23:53:14.485Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-21T23:53:14.485Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-21T23:53:14.485Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (6566.345 ms) ====== [2025-10-21T23:53:14.485Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-21T23:53:14.485Z] GC before operation: completed in 48.716 ms, heap usage 189.500 MB -> 89.982 MB. [2025-10-21T23:53:15.707Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-21T23:53:16.471Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-21T23:53:17.695Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-21T23:53:18.458Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-21T23:53:19.214Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-21T23:53:19.575Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-21T23:53:20.331Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-21T23:53:20.682Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-21T23:53:21.041Z] 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. [2025-10-21T23:53:21.041Z] The best model improves the baseline by 14.52%. [2025-10-21T23:53:21.041Z] Top recommended movies for user id 72: [2025-10-21T23:53:21.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-21T23:53:21.041Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-21T23:53:21.041Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-21T23:53:21.041Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-21T23:53:21.041Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-21T23:53:21.041Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (6526.456 ms) ====== [2025-10-21T23:53:21.041Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-21T23:53:21.041Z] GC before operation: completed in 45.635 ms, heap usage 110.750 MB -> 89.707 MB. [2025-10-21T23:53:22.263Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-21T23:53:23.033Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-21T23:53:24.382Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-21T23:53:25.153Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-21T23:53:25.916Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-21T23:53:26.676Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-21T23:53:27.032Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-21T23:53:27.794Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-21T23:53:27.794Z] 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. [2025-10-21T23:53:27.794Z] The best model improves the baseline by 14.52%. [2025-10-21T23:53:27.794Z] Top recommended movies for user id 72: [2025-10-21T23:53:27.794Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-21T23:53:27.794Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-21T23:53:27.794Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-21T23:53:27.794Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-21T23:53:27.794Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-21T23:53:27.794Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (6834.433 ms) ====== [2025-10-21T23:53:27.794Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-21T23:53:27.794Z] GC before operation: completed in 53.065 ms, heap usage 251.602 MB -> 89.935 MB. [2025-10-21T23:53:29.013Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-21T23:53:29.771Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-21T23:53:31.010Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-21T23:53:31.774Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-21T23:53:32.532Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-21T23:53:33.296Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-21T23:53:33.653Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-21T23:53:34.418Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-21T23:53:34.418Z] 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. [2025-10-21T23:53:34.418Z] The best model improves the baseline by 14.52%. [2025-10-21T23:53:34.418Z] Top recommended movies for user id 72: [2025-10-21T23:53:34.418Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-21T23:53:34.418Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-21T23:53:34.418Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-21T23:53:34.418Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-21T23:53:34.418Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-21T23:53:34.418Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (6494.666 ms) ====== [2025-10-21T23:53:34.418Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-21T23:53:34.418Z] GC before operation: completed in 48.448 ms, heap usage 189.554 MB -> 89.787 MB. [2025-10-21T23:53:35.645Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-21T23:53:36.409Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-21T23:53:37.652Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-21T23:53:38.413Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-21T23:53:39.170Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-21T23:53:39.541Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-21T23:53:40.294Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-21T23:53:41.055Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-21T23:53:41.055Z] 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. [2025-10-21T23:53:41.055Z] The best model improves the baseline by 14.52%. [2025-10-21T23:53:41.055Z] Top recommended movies for user id 72: [2025-10-21T23:53:41.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-21T23:53:41.055Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-21T23:53:41.055Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-21T23:53:41.055Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-21T23:53:41.055Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-21T23:53:41.055Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (6620.505 ms) ====== [2025-10-21T23:53:41.055Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-21T23:53:41.055Z] GC before operation: completed in 47.675 ms, heap usage 227.468 MB -> 93.524 MB. [2025-10-21T23:53:42.286Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-21T23:53:43.044Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-21T23:53:44.276Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-21T23:53:45.035Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-21T23:53:45.803Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-21T23:53:46.558Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-21T23:53:46.918Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-21T23:53:47.676Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-21T23:53:47.676Z] 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. [2025-10-21T23:53:47.676Z] The best model improves the baseline by 14.52%. [2025-10-21T23:53:47.676Z] Top recommended movies for user id 72: [2025-10-21T23:53:47.676Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-21T23:53:47.676Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-21T23:53:47.676Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-21T23:53:47.676Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-21T23:53:47.676Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-21T23:53:47.676Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (6646.923 ms) ====== [2025-10-21T23:53:48.030Z] ----------------------------------- [2025-10-21T23:53:48.030Z] renaissance-movie-lens_0_PASSED [2025-10-21T23:53:48.030Z] ----------------------------------- [2025-10-21T23:53:48.030Z] [2025-10-21T23:53:48.030Z] TEST TEARDOWN: [2025-10-21T23:53:48.030Z] Nothing to be done for teardown. [2025-10-21T23:53:48.030Z] renaissance-movie-lens_0 Finish Time: Tue Oct 21 19:53:47 2025 Epoch Time (ms): 1761090827807