[2025-07-16T18:52:43.163Z] Running test renaissance-movie-lens_0 ... [2025-07-16T18:52:43.163Z] =============================================== [2025-07-16T18:52:43.163Z] renaissance-movie-lens_0 Start Time: Wed Jul 16 11:52:41 2025 Epoch Time (ms): 1752691961052 [2025-07-16T18:52:43.163Z] variation: NoOptions [2025-07-16T18:52:43.163Z] JVM_OPTIONS: [2025-07-16T18:52:43.163Z] { \ [2025-07-16T18:52:43.163Z] echo ""; echo "TEST SETUP:"; \ [2025-07-16T18:52:43.163Z] echo "Nothing to be done for setup."; \ [2025-07-16T18:52:43.163Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17526861898925/renaissance-movie-lens_0"; \ [2025-07-16T18:52:43.163Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17526861898925/renaissance-movie-lens_0"; \ [2025-07-16T18:52:43.163Z] echo ""; echo "TESTING:"; \ [2025-07-16T18:52:43.164Z] "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1/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_x86-64_mac_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17526861898925/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-07-16T18:52:43.164Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17526861898925/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-07-16T18:52:43.164Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-07-16T18:52:43.164Z] echo "Nothing to be done for teardown."; \ [2025-07-16T18:52:43.164Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17526861898925/TestTargetResult"; [2025-07-16T18:52:43.164Z] [2025-07-16T18:52:43.164Z] TEST SETUP: [2025-07-16T18:52:43.164Z] Nothing to be done for setup. [2025-07-16T18:52:43.164Z] [2025-07-16T18:52:43.164Z] TESTING: [2025-07-16T18:53:09.359Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-07-16T18:53:35.323Z] 11:53:33.195 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. [2025-07-16T18:53:43.293Z] Got 100004 ratings from 671 users on 9066 movies. [2025-07-16T18:53:45.003Z] Training: 60056, validation: 20285, test: 19854 [2025-07-16T18:53:45.003Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-07-16T18:53:45.003Z] GC before operation: completed in 303.756 ms, heap usage 204.780 MB -> 74.525 MB. [2025-07-16T18:54:22.371Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T18:54:49.759Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T18:55:16.348Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T18:55:35.270Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T18:55:46.038Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T18:55:53.679Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T18:56:07.452Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T18:56:17.014Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T18:56:18.012Z] 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. [2025-07-16T18:56:18.012Z] The best model improves the baseline by 14.52%. [2025-07-16T18:56:18.970Z] Top recommended movies for user id 72: [2025-07-16T18:56:18.971Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T18:56:18.971Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T18:56:18.971Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T18:56:18.971Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T18:56:18.971Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T18:56:18.971Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (153681.096 ms) ====== [2025-07-16T18:56:18.971Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-07-16T18:56:19.415Z] GC before operation: completed in 429.868 ms, heap usage 244.385 MB -> 87.732 MB. [2025-07-16T18:56:41.956Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T18:57:01.025Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T18:57:24.443Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T18:57:39.819Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T18:57:49.070Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T18:58:00.301Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T18:58:12.046Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T18:58:22.611Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T18:58:23.496Z] 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. [2025-07-16T18:58:23.496Z] The best model improves the baseline by 14.52%. [2025-07-16T18:58:23.920Z] Top recommended movies for user id 72: [2025-07-16T18:58:23.920Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T18:58:23.920Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T18:58:23.920Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T18:58:23.920Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T18:58:23.920Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T18:58:24.532Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (124887.231 ms) ====== [2025-07-16T18:58:24.532Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-07-16T18:58:26.341Z] GC before operation: completed in 2031.191 ms, heap usage 636.585 MB -> 90.916 MB. [2025-07-16T18:58:52.582Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T18:59:11.521Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T18:59:31.034Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T18:59:49.256Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T18:59:58.583Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T19:00:09.817Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T19:00:21.077Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T19:00:32.516Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T19:00:34.470Z] 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. [2025-07-16T19:00:34.470Z] The best model improves the baseline by 14.52%. [2025-07-16T19:00:34.958Z] Top recommended movies for user id 72: [2025-07-16T19:00:34.958Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T19:00:34.958Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T19:00:34.958Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T19:00:34.958Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T19:00:34.958Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T19:00:34.958Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (128836.676 ms) ====== [2025-07-16T19:00:34.958Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-07-16T19:00:35.458Z] GC before operation: completed in 371.846 ms, heap usage 269.029 MB -> 87.775 MB. [2025-07-16T19:00:58.356Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T19:01:20.606Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T19:01:42.871Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T19:01:56.727Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T19:02:06.379Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T19:02:18.435Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T19:02:30.678Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T19:02:41.678Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T19:02:41.678Z] 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. [2025-07-16T19:02:41.678Z] The best model improves the baseline by 14.52%. [2025-07-16T19:02:41.678Z] Top recommended movies for user id 72: [2025-07-16T19:02:41.678Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T19:02:41.678Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T19:02:41.678Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T19:02:41.678Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T19:02:41.678Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T19:02:41.678Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (126377.505 ms) ====== [2025-07-16T19:02:41.678Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-07-16T19:02:42.887Z] GC before operation: completed in 1119.008 ms, heap usage 510.397 MB -> 91.732 MB. [2025-07-16T19:03:05.224Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T19:03:27.693Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T19:03:38.839Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T19:03:53.996Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T19:04:05.429Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T19:04:17.096Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T19:04:26.498Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T19:04:37.911Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T19:04:38.590Z] 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. [2025-07-16T19:04:38.590Z] The best model improves the baseline by 14.52%. [2025-07-16T19:04:40.084Z] Top recommended movies for user id 72: [2025-07-16T19:04:40.084Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T19:04:40.084Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T19:04:40.084Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T19:04:40.084Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T19:04:40.084Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T19:04:40.084Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (117201.106 ms) ====== [2025-07-16T19:04:40.084Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-07-16T19:04:40.528Z] GC before operation: completed in 434.912 ms, heap usage 175.816 MB -> 87.895 MB. [2025-07-16T19:05:06.564Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T19:05:22.669Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T19:05:37.788Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T19:05:53.140Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T19:06:02.293Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T19:06:13.430Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T19:06:24.549Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T19:06:35.405Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T19:06:37.886Z] 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. [2025-07-16T19:06:37.886Z] The best model improves the baseline by 14.52%. [2025-07-16T19:06:38.298Z] Top recommended movies for user id 72: [2025-07-16T19:06:38.298Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T19:06:38.298Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T19:06:38.298Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T19:06:38.298Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T19:06:38.298Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T19:06:38.298Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (117956.428 ms) ====== [2025-07-16T19:06:38.298Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-07-16T19:06:38.837Z] GC before operation: completed in 448.643 ms, heap usage 506.600 MB -> 91.882 MB. [2025-07-16T19:07:05.246Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T19:07:21.071Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T19:07:36.739Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T19:07:55.054Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T19:08:08.037Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T19:08:16.161Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T19:08:28.225Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T19:08:37.227Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T19:08:38.194Z] 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. [2025-07-16T19:08:38.194Z] The best model improves the baseline by 14.52%. [2025-07-16T19:08:38.636Z] Top recommended movies for user id 72: [2025-07-16T19:08:38.636Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T19:08:38.636Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T19:08:38.636Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T19:08:38.636Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T19:08:38.636Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T19:08:38.636Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (119662.450 ms) ====== [2025-07-16T19:08:38.636Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-07-16T19:08:39.043Z] GC before operation: completed in 416.683 ms, heap usage 324.044 MB -> 88.330 MB. [2025-07-16T19:09:01.950Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T19:09:17.554Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T19:09:36.597Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T19:09:54.798Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T19:10:00.525Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T19:10:13.374Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T19:10:23.282Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T19:10:35.443Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T19:10:35.443Z] 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. [2025-07-16T19:10:35.443Z] The best model improves the baseline by 14.52%. [2025-07-16T19:10:35.443Z] Top recommended movies for user id 72: [2025-07-16T19:10:35.443Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T19:10:35.443Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T19:10:35.443Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T19:10:35.443Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T19:10:35.443Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T19:10:35.443Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (116373.522 ms) ====== [2025-07-16T19:10:35.443Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-07-16T19:10:36.030Z] GC before operation: completed in 478.624 ms, heap usage 204.737 MB -> 88.385 MB. [2025-07-16T19:10:58.863Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T19:11:17.352Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T19:11:36.714Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T19:11:47.115Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T19:11:56.540Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T19:12:07.718Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T19:12:18.528Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T19:12:25.374Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T19:12:26.421Z] 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. [2025-07-16T19:12:26.421Z] The best model improves the baseline by 14.52%. [2025-07-16T19:12:26.961Z] Top recommended movies for user id 72: [2025-07-16T19:12:26.961Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T19:12:26.961Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T19:12:26.961Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T19:12:26.961Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T19:12:26.961Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T19:12:26.961Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (111121.959 ms) ====== [2025-07-16T19:12:26.961Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-07-16T19:12:28.093Z] GC before operation: completed in 949.768 ms, heap usage 362.687 MB -> 88.500 MB. [2025-07-16T19:12:50.820Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T19:13:06.444Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T19:13:22.189Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T19:13:37.773Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T19:13:48.404Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T19:13:55.408Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T19:14:06.992Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T19:14:17.108Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T19:14:17.559Z] 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. [2025-07-16T19:14:17.559Z] The best model improves the baseline by 14.52%. [2025-07-16T19:14:18.616Z] Top recommended movies for user id 72: [2025-07-16T19:14:18.616Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T19:14:18.616Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T19:14:18.616Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T19:14:18.616Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T19:14:18.616Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T19:14:18.616Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (110095.477 ms) ====== [2025-07-16T19:14:18.616Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-07-16T19:14:19.004Z] GC before operation: completed in 856.955 ms, heap usage 464.901 MB -> 90.110 MB. [2025-07-16T19:14:41.252Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T19:14:54.974Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T19:15:14.015Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T19:15:32.725Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T19:15:39.905Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T19:15:48.981Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T19:15:56.472Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T19:16:05.673Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T19:16:06.189Z] 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. [2025-07-16T19:16:06.189Z] The best model improves the baseline by 14.52%. [2025-07-16T19:16:06.786Z] Top recommended movies for user id 72: [2025-07-16T19:16:06.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T19:16:06.786Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T19:16:06.786Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T19:16:06.786Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T19:16:06.787Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T19:16:06.787Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (107908.499 ms) ====== [2025-07-16T19:16:06.787Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-07-16T19:16:07.230Z] GC before operation: completed in 550.139 ms, heap usage 181.156 MB -> 88.187 MB. [2025-07-16T19:16:25.510Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T19:16:47.178Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T19:17:03.712Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T19:17:16.895Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T19:17:26.931Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T19:17:36.267Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T19:17:47.076Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T19:17:55.882Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T19:17:56.991Z] 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. [2025-07-16T19:17:56.991Z] The best model improves the baseline by 14.52%. [2025-07-16T19:17:56.991Z] Top recommended movies for user id 72: [2025-07-16T19:17:56.991Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T19:17:56.991Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T19:17:56.991Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T19:17:56.991Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T19:17:56.991Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T19:17:56.991Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (109726.005 ms) ====== [2025-07-16T19:17:56.991Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-07-16T19:17:57.658Z] GC before operation: completed in 426.347 ms, heap usage 332.931 MB -> 88.553 MB. [2025-07-16T19:18:18.927Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T19:18:34.959Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T19:18:53.667Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T19:19:09.292Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T19:19:17.075Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T19:19:27.103Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T19:19:36.343Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T19:19:47.008Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T19:19:47.914Z] 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. [2025-07-16T19:19:47.914Z] The best model improves the baseline by 14.52%. [2025-07-16T19:19:48.526Z] Top recommended movies for user id 72: [2025-07-16T19:19:48.526Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T19:19:48.526Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T19:19:48.526Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T19:19:48.526Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T19:19:48.526Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T19:19:48.526Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (110727.787 ms) ====== [2025-07-16T19:19:48.526Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-07-16T19:19:49.617Z] GC before operation: completed in 1093.514 ms, heap usage 276.695 MB -> 88.663 MB. [2025-07-16T19:20:08.363Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T19:20:24.276Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T19:20:43.012Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T19:20:58.769Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T19:21:07.590Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T19:21:18.951Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T19:21:27.887Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T19:21:37.134Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T19:21:38.010Z] 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. [2025-07-16T19:21:38.010Z] The best model improves the baseline by 14.52%. [2025-07-16T19:21:38.466Z] Top recommended movies for user id 72: [2025-07-16T19:21:38.466Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T19:21:38.466Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T19:21:38.466Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T19:21:38.466Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T19:21:38.466Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T19:21:38.466Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (108999.680 ms) ====== [2025-07-16T19:21:38.466Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-07-16T19:21:38.952Z] GC before operation: completed in 431.949 ms, heap usage 641.248 MB -> 92.197 MB. [2025-07-16T19:21:54.378Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T19:22:09.467Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T19:22:24.917Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T19:22:46.483Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T19:22:51.646Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T19:23:00.627Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T19:23:14.130Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T19:23:25.313Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T19:23:26.595Z] 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. [2025-07-16T19:23:26.595Z] The best model improves the baseline by 14.52%. [2025-07-16T19:23:26.595Z] Top recommended movies for user id 72: [2025-07-16T19:23:26.595Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T19:23:26.595Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T19:23:26.595Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T19:23:26.595Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T19:23:26.595Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T19:23:26.595Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (107796.160 ms) ====== [2025-07-16T19:23:26.595Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-07-16T19:23:27.103Z] GC before operation: completed in 631.357 ms, heap usage 159.938 MB -> 90.247 MB. [2025-07-16T19:23:45.119Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T19:24:01.019Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T19:24:17.028Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T19:24:29.963Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T19:24:38.929Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T19:24:50.043Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T19:25:01.150Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T19:25:11.591Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T19:25:11.591Z] 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. [2025-07-16T19:25:11.591Z] The best model improves the baseline by 14.52%. [2025-07-16T19:25:12.323Z] Top recommended movies for user id 72: [2025-07-16T19:25:12.323Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T19:25:12.323Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T19:25:12.323Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T19:25:12.323Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T19:25:12.323Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T19:25:12.323Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (104586.868 ms) ====== [2025-07-16T19:25:12.323Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-07-16T19:25:13.625Z] GC before operation: completed in 1723.326 ms, heap usage 681.457 MB -> 92.307 MB. [2025-07-16T19:25:35.240Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T19:25:48.327Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T19:26:07.185Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T19:26:20.980Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T19:26:31.395Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T19:26:40.741Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T19:26:50.301Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T19:26:59.229Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T19:27:00.990Z] 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. [2025-07-16T19:27:00.990Z] The best model improves the baseline by 14.52%. [2025-07-16T19:27:01.469Z] Top recommended movies for user id 72: [2025-07-16T19:27:01.469Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T19:27:01.469Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T19:27:01.469Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T19:27:01.469Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T19:27:01.469Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T19:27:01.469Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (107693.124 ms) ====== [2025-07-16T19:27:01.469Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-07-16T19:27:02.006Z] GC before operation: completed in 493.767 ms, heap usage 488.683 MB -> 88.963 MB. [2025-07-16T19:27:24.354Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T19:27:37.784Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T19:27:53.304Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T19:28:08.773Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T19:28:19.743Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T19:28:28.562Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T19:28:40.041Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T19:28:51.093Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T19:28:52.536Z] 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. [2025-07-16T19:28:52.536Z] The best model improves the baseline by 14.52%. [2025-07-16T19:28:52.536Z] Top recommended movies for user id 72: [2025-07-16T19:28:52.536Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T19:28:52.536Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T19:28:52.536Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T19:28:52.536Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T19:28:52.536Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T19:28:52.536Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (110874.799 ms) ====== [2025-07-16T19:28:52.536Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-07-16T19:28:53.459Z] GC before operation: completed in 488.523 ms, heap usage 468.099 MB -> 88.748 MB. [2025-07-16T19:29:11.643Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T19:29:30.846Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T19:29:45.888Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T19:29:58.640Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T19:30:09.167Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T19:30:20.608Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T19:30:29.989Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T19:30:37.655Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T19:30:38.674Z] 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. [2025-07-16T19:30:38.674Z] The best model improves the baseline by 14.52%. [2025-07-16T19:30:39.192Z] Top recommended movies for user id 72: [2025-07-16T19:30:39.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T19:30:39.192Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T19:30:39.192Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T19:30:39.192Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T19:30:39.192Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T19:30:39.192Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (105873.483 ms) ====== [2025-07-16T19:30:39.192Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-07-16T19:30:39.790Z] GC before operation: completed in 420.001 ms, heap usage 413.672 MB -> 88.824 MB. [2025-07-16T19:30:59.055Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T19:31:14.843Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T19:31:30.332Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T19:31:43.745Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T19:31:48.626Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T19:31:58.029Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T19:32:09.234Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T19:32:18.236Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T19:32:18.236Z] 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. [2025-07-16T19:32:18.236Z] The best model improves the baseline by 14.52%. [2025-07-16T19:32:18.674Z] Top recommended movies for user id 72: [2025-07-16T19:32:18.674Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T19:32:18.674Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T19:32:18.674Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T19:32:18.674Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T19:32:18.674Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T19:32:18.674Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (99183.471 ms) ====== [2025-07-16T19:32:22.371Z] ----------------------------------- [2025-07-16T19:32:22.371Z] renaissance-movie-lens_0_PASSED [2025-07-16T19:32:22.371Z] ----------------------------------- [2025-07-16T19:32:22.780Z] [2025-07-16T19:32:22.780Z] TEST TEARDOWN: [2025-07-16T19:32:22.780Z] Nothing to be done for teardown. [2025-07-16T19:32:22.780Z] renaissance-movie-lens_0 Finish Time: Wed Jul 16 12:32:20 2025 Epoch Time (ms): 1752694340714