[2025-05-16T22:45:41.368Z] Running test renaissance-movie-lens_0 ... [2025-05-16T22:45:41.368Z] =============================================== [2025-05-16T22:45:41.368Z] renaissance-movie-lens_0 Start Time: Fri May 16 18:45:41 2025 Epoch Time (ms): 1747435541099 [2025-05-16T22:45:41.368Z] variation: NoOptions [2025-05-16T22:45:41.368Z] JVM_OPTIONS: [2025-05-16T22:45:41.368Z] { \ [2025-05-16T22:45:41.368Z] echo ""; echo "TEST SETUP:"; \ [2025-05-16T22:45:41.368Z] echo "Nothing to be done for setup."; \ [2025-05-16T22:45:41.368Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17474348112088/renaissance-movie-lens_0"; \ [2025-05-16T22:45:41.368Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17474348112088/renaissance-movie-lens_0"; \ [2025-05-16T22:45:41.368Z] echo ""; echo "TESTING:"; \ [2025-05-16T22:45:41.368Z] "/Users/admin/workspace/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17474348112088/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-16T22:45:41.368Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17474348112088/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-16T22:45:41.368Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-16T22:45:41.368Z] echo "Nothing to be done for teardown."; \ [2025-05-16T22:45:41.368Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17474348112088/TestTargetResult"; [2025-05-16T22:45:41.368Z] [2025-05-16T22:45:41.368Z] TEST SETUP: [2025-05-16T22:45:41.368Z] Nothing to be done for setup. [2025-05-16T22:45:41.368Z] [2025-05-16T22:45:41.368Z] TESTING: [2025-05-16T22:45:45.574Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-05-16T22:45:50.945Z] 18:45:49.891 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-05-16T22:45:51.333Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-16T22:45:51.724Z] Training: 60056, validation: 20285, test: 19854 [2025-05-16T22:45:51.724Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-16T22:45:51.724Z] GC before operation: completed in 94.145 ms, heap usage 196.707 MB -> 74.480 MB. [2025-05-16T22:45:55.964Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:45:58.717Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:46:01.353Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:46:03.983Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:46:04.881Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:46:06.797Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:46:07.636Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:46:08.980Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:46:09.382Z] 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. [2025-05-16T22:46:09.382Z] The best model improves the baseline by 14.52%. [2025-05-16T22:46:09.382Z] Top recommended movies for user id 72: [2025-05-16T22:46:09.382Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T22:46:09.382Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T22:46:09.382Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T22:46:09.382Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T22:46:09.382Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T22:46:09.382Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (17595.293 ms) ====== [2025-05-16T22:46:09.382Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-16T22:46:09.382Z] GC before operation: completed in 100.452 ms, heap usage 169.309 MB -> 85.166 MB. [2025-05-16T22:46:11.969Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:46:13.897Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:46:15.792Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:46:17.714Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:46:19.055Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:46:20.398Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:46:21.764Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:46:23.085Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:46:23.085Z] 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. [2025-05-16T22:46:23.085Z] The best model improves the baseline by 14.52%. [2025-05-16T22:46:23.478Z] Top recommended movies for user id 72: [2025-05-16T22:46:23.478Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T22:46:23.478Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T22:46:23.478Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T22:46:23.478Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T22:46:23.479Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T22:46:23.479Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (13809.233 ms) ====== [2025-05-16T22:46:23.479Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-16T22:46:23.479Z] GC before operation: completed in 94.501 ms, heap usage 231.078 MB -> 87.174 MB. [2025-05-16T22:46:25.393Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:46:28.029Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:46:29.931Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:46:31.288Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:46:32.170Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:46:33.024Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:46:34.399Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:46:35.250Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:46:35.250Z] 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. [2025-05-16T22:46:35.250Z] The best model improves the baseline by 14.52%. [2025-05-16T22:46:35.250Z] Top recommended movies for user id 72: [2025-05-16T22:46:35.250Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T22:46:35.250Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T22:46:35.250Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T22:46:35.250Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T22:46:35.250Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T22:46:35.250Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (12012.187 ms) ====== [2025-05-16T22:46:35.250Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-16T22:46:35.647Z] GC before operation: completed in 85.591 ms, heap usage 233.319 MB -> 87.717 MB. [2025-05-16T22:46:37.545Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:46:38.911Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:46:40.825Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:46:42.769Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:46:43.598Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:46:44.440Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:46:45.299Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:46:46.154Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:46:46.546Z] 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. [2025-05-16T22:46:46.546Z] The best model improves the baseline by 14.52%. [2025-05-16T22:46:46.546Z] Top recommended movies for user id 72: [2025-05-16T22:46:46.546Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T22:46:46.546Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T22:46:46.546Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T22:46:46.546Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T22:46:46.546Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T22:46:46.546Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (10939.172 ms) ====== [2025-05-16T22:46:46.546Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-16T22:46:46.546Z] GC before operation: completed in 76.324 ms, heap usage 363.563 MB -> 88.254 MB. [2025-05-16T22:46:47.899Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:46:49.795Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:46:51.777Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:46:53.700Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:46:55.036Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:46:55.870Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:46:56.711Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:46:57.578Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:46:57.963Z] 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. [2025-05-16T22:46:57.964Z] The best model improves the baseline by 14.52%. [2025-05-16T22:46:57.964Z] Top recommended movies for user id 72: [2025-05-16T22:46:57.964Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T22:46:57.964Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T22:46:57.964Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T22:46:57.964Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T22:46:57.964Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T22:46:57.964Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (11424.265 ms) ====== [2025-05-16T22:46:57.964Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-16T22:46:57.964Z] GC before operation: completed in 85.161 ms, heap usage 242.956 MB -> 88.009 MB. [2025-05-16T22:46:59.955Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:47:01.335Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:47:03.323Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:47:04.669Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:47:05.530Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:47:06.390Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:47:07.238Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:47:08.598Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:47:08.598Z] 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. [2025-05-16T22:47:08.598Z] The best model improves the baseline by 14.52%. [2025-05-16T22:47:08.598Z] Top recommended movies for user id 72: [2025-05-16T22:47:08.598Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T22:47:08.598Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T22:47:08.598Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T22:47:08.598Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T22:47:08.598Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T22:47:08.598Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (10715.901 ms) ====== [2025-05-16T22:47:08.598Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-16T22:47:08.989Z] GC before operation: completed in 91.303 ms, heap usage 325.106 MB -> 88.446 MB. [2025-05-16T22:47:10.322Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:47:11.677Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:47:13.027Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:47:14.357Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:47:15.190Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:47:16.030Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:47:17.357Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:47:18.211Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:47:18.211Z] 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. [2025-05-16T22:47:18.211Z] The best model improves the baseline by 14.52%. [2025-05-16T22:47:18.211Z] Top recommended movies for user id 72: [2025-05-16T22:47:18.211Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T22:47:18.211Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T22:47:18.211Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T22:47:18.211Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T22:47:18.211Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T22:47:18.211Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (9483.981 ms) ====== [2025-05-16T22:47:18.211Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-16T22:47:18.608Z] GC before operation: completed in 71.661 ms, heap usage 388.650 MB -> 88.487 MB. [2025-05-16T22:47:19.940Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:47:21.277Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:47:23.184Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:47:24.527Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:47:25.370Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:47:26.193Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:47:27.027Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:47:27.852Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:47:27.852Z] 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. [2025-05-16T22:47:27.852Z] The best model improves the baseline by 14.52%. [2025-05-16T22:47:27.852Z] Top recommended movies for user id 72: [2025-05-16T22:47:27.852Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T22:47:27.852Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T22:47:27.852Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T22:47:27.852Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T22:47:27.852Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T22:47:27.852Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (9540.390 ms) ====== [2025-05-16T22:47:27.852Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-16T22:47:27.852Z] GC before operation: completed in 64.840 ms, heap usage 186.328 MB -> 88.449 MB. [2025-05-16T22:47:29.750Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:47:31.102Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:47:31.946Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:47:33.307Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:47:34.643Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:47:35.030Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:47:36.373Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:47:37.218Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:47:37.218Z] 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. [2025-05-16T22:47:37.218Z] The best model improves the baseline by 14.52%. [2025-05-16T22:47:37.218Z] Top recommended movies for user id 72: [2025-05-16T22:47:37.218Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T22:47:37.218Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T22:47:37.218Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T22:47:37.218Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T22:47:37.218Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T22:47:37.218Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (9141.191 ms) ====== [2025-05-16T22:47:37.218Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-16T22:47:37.218Z] GC before operation: completed in 61.947 ms, heap usage 207.433 MB -> 88.304 MB. [2025-05-16T22:47:38.563Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:47:39.922Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:47:41.252Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:47:42.603Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:47:43.444Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:47:44.277Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:47:45.116Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:47:45.958Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:47:45.958Z] 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. [2025-05-16T22:47:45.958Z] The best model improves the baseline by 14.52%. [2025-05-16T22:47:46.343Z] Top recommended movies for user id 72: [2025-05-16T22:47:46.343Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T22:47:46.343Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T22:47:46.343Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T22:47:46.343Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T22:47:46.343Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T22:47:46.343Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (8935.796 ms) ====== [2025-05-16T22:47:46.343Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-16T22:47:46.343Z] GC before operation: completed in 65.225 ms, heap usage 304.299 MB -> 88.647 MB. [2025-05-16T22:47:47.684Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:47:49.005Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:47:50.324Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:47:51.656Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:47:52.507Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:47:53.344Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:47:54.176Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:47:55.019Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:47:55.424Z] 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. [2025-05-16T22:47:55.424Z] The best model improves the baseline by 14.52%. [2025-05-16T22:47:55.424Z] Top recommended movies for user id 72: [2025-05-16T22:47:55.424Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T22:47:55.424Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T22:47:55.424Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T22:47:55.424Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T22:47:55.424Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T22:47:55.424Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (9112.173 ms) ====== [2025-05-16T22:47:55.424Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-16T22:47:55.424Z] GC before operation: completed in 64.991 ms, heap usage 320.575 MB -> 88.372 MB. [2025-05-16T22:47:56.825Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:47:58.755Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:48:00.745Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:48:02.096Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:48:02.934Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:48:03.787Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:48:04.671Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:48:05.536Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:48:05.935Z] 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. [2025-05-16T22:48:05.935Z] The best model improves the baseline by 14.52%. [2025-05-16T22:48:05.935Z] Top recommended movies for user id 72: [2025-05-16T22:48:05.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T22:48:05.935Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T22:48:05.935Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T22:48:05.935Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T22:48:05.935Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T22:48:05.935Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (10436.097 ms) ====== [2025-05-16T22:48:05.935Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-16T22:48:05.935Z] GC before operation: completed in 100.505 ms, heap usage 305.469 MB -> 88.587 MB. [2025-05-16T22:48:07.873Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:48:09.207Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:48:11.155Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:48:12.500Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:48:13.841Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:48:14.269Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:48:15.635Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:48:16.985Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:48:16.985Z] 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. [2025-05-16T22:48:16.985Z] The best model improves the baseline by 14.52%. [2025-05-16T22:48:16.985Z] Top recommended movies for user id 72: [2025-05-16T22:48:16.985Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T22:48:16.985Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T22:48:16.985Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T22:48:16.985Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T22:48:16.985Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T22:48:16.985Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (11058.997 ms) ====== [2025-05-16T22:48:16.985Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-16T22:48:16.985Z] GC before operation: completed in 82.963 ms, heap usage 412.143 MB -> 88.801 MB. [2025-05-16T22:48:18.913Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:48:20.234Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:48:21.576Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:48:22.964Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:48:23.811Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:48:24.205Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:48:25.041Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:48:25.878Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:48:26.273Z] 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. [2025-05-16T22:48:26.273Z] The best model improves the baseline by 14.52%. [2025-05-16T22:48:26.273Z] Top recommended movies for user id 72: [2025-05-16T22:48:26.273Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T22:48:26.273Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T22:48:26.273Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T22:48:26.273Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T22:48:26.273Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T22:48:26.273Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (9126.913 ms) ====== [2025-05-16T22:48:26.273Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-16T22:48:26.273Z] GC before operation: completed in 65.180 ms, heap usage 161.253 MB -> 88.367 MB. [2025-05-16T22:48:28.179Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:48:29.061Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:48:30.385Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:48:32.324Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:48:32.713Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:48:33.548Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:48:34.372Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:48:35.202Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:48:35.202Z] 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. [2025-05-16T22:48:35.202Z] The best model improves the baseline by 14.52%. [2025-05-16T22:48:35.613Z] Top recommended movies for user id 72: [2025-05-16T22:48:35.613Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T22:48:35.613Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T22:48:35.613Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T22:48:35.613Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T22:48:35.613Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T22:48:35.613Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (9125.542 ms) ====== [2025-05-16T22:48:35.613Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-16T22:48:35.613Z] GC before operation: completed in 62.194 ms, heap usage 213.784 MB -> 88.591 MB. [2025-05-16T22:48:36.971Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:48:38.312Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:48:39.641Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:48:40.988Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:48:41.394Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:48:42.278Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:48:43.193Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:48:44.025Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:48:44.025Z] 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. [2025-05-16T22:48:44.025Z] The best model improves the baseline by 14.52%. [2025-05-16T22:48:44.025Z] Top recommended movies for user id 72: [2025-05-16T22:48:44.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T22:48:44.025Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T22:48:44.025Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T22:48:44.025Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T22:48:44.025Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T22:48:44.025Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (8615.592 ms) ====== [2025-05-16T22:48:44.025Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-16T22:48:44.025Z] GC before operation: completed in 65.039 ms, heap usage 187.051 MB -> 88.545 MB. [2025-05-16T22:48:45.361Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:48:46.689Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:48:48.028Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:48:49.353Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:48:50.201Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:48:51.033Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:48:51.878Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:48:52.709Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:48:52.709Z] 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. [2025-05-16T22:48:52.709Z] The best model improves the baseline by 14.52%. [2025-05-16T22:48:52.709Z] Top recommended movies for user id 72: [2025-05-16T22:48:52.709Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T22:48:52.709Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T22:48:52.709Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T22:48:52.709Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T22:48:52.709Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T22:48:52.709Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (8694.251 ms) ====== [2025-05-16T22:48:52.709Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-16T22:48:53.096Z] GC before operation: completed in 67.395 ms, heap usage 363.293 MB -> 88.869 MB. [2025-05-16T22:48:54.443Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:48:55.784Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:48:57.139Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:48:58.496Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:48:59.328Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:49:00.165Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:49:01.058Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:49:01.922Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:49:01.922Z] 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. [2025-05-16T22:49:01.922Z] The best model improves the baseline by 14.52%. [2025-05-16T22:49:01.922Z] Top recommended movies for user id 72: [2025-05-16T22:49:01.922Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T22:49:01.922Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T22:49:01.922Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T22:49:01.922Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T22:49:01.922Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T22:49:01.922Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (9105.970 ms) ====== [2025-05-16T22:49:01.923Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-16T22:49:01.923Z] GC before operation: completed in 64.989 ms, heap usage 108.867 MB -> 88.345 MB. [2025-05-16T22:49:03.276Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:49:04.645Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:49:05.974Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:49:07.317Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:49:08.165Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:49:09.020Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:49:09.861Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:49:10.259Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:49:10.648Z] 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. [2025-05-16T22:49:10.648Z] The best model improves the baseline by 14.52%. [2025-05-16T22:49:10.648Z] Top recommended movies for user id 72: [2025-05-16T22:49:10.648Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T22:49:10.648Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T22:49:10.648Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T22:49:10.648Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T22:49:10.648Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T22:49:10.648Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (8498.479 ms) ====== [2025-05-16T22:49:10.648Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-16T22:49:10.648Z] GC before operation: completed in 63.478 ms, heap usage 378.760 MB -> 88.789 MB. [2025-05-16T22:49:11.964Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:49:13.304Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:49:14.637Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:49:16.598Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:49:17.014Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:49:17.849Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:49:19.190Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:49:20.015Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:49:20.016Z] 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. [2025-05-16T22:49:20.016Z] The best model improves the baseline by 14.52%. [2025-05-16T22:49:20.016Z] Top recommended movies for user id 72: [2025-05-16T22:49:20.016Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T22:49:20.016Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T22:49:20.016Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T22:49:20.016Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T22:49:20.016Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T22:49:20.016Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (9449.436 ms) ====== [2025-05-16T22:49:20.428Z] ----------------------------------- [2025-05-16T22:49:20.428Z] renaissance-movie-lens_0_PASSED [2025-05-16T22:49:20.428Z] ----------------------------------- [2025-05-16T22:49:20.428Z] [2025-05-16T22:49:20.428Z] TEST TEARDOWN: [2025-05-16T22:49:20.428Z] Nothing to be done for teardown. [2025-05-16T22:49:20.428Z] renaissance-movie-lens_0 Finish Time: Fri May 16 18:49:20 2025 Epoch Time (ms): 1747435760036