[2025-05-07T22:55:53.577Z] Running test renaissance-movie-lens_0 ... [2025-05-07T22:55:53.577Z] =============================================== [2025-05-07T22:55:53.987Z] renaissance-movie-lens_0 Start Time: Wed May 7 15:55:53 2025 Epoch Time (ms): 1746658553259 [2025-05-07T22:55:53.987Z] variation: NoOptions [2025-05-07T22:55:53.987Z] JVM_OPTIONS: [2025-05-07T22:55:53.987Z] { \ [2025-05-07T22:55:53.987Z] echo ""; echo "TEST SETUP:"; \ [2025-05-07T22:55:53.987Z] echo "Nothing to be done for setup."; \ [2025-05-07T22:55:53.987Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17466578783808/renaissance-movie-lens_0"; \ [2025-05-07T22:55:53.987Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17466578783808/renaissance-movie-lens_0"; \ [2025-05-07T22:55:53.987Z] echo ""; echo "TESTING:"; \ [2025-05-07T22:55:53.987Z] "/Users/admin/workspace/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17466578783808/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-07T22:55:53.987Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17466578783808/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-07T22:55:53.987Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-07T22:55:53.987Z] echo "Nothing to be done for teardown."; \ [2025-05-07T22:55:53.987Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17466578783808/TestTargetResult"; [2025-05-07T22:55:53.987Z] [2025-05-07T22:55:53.987Z] TEST SETUP: [2025-05-07T22:55:53.987Z] Nothing to be done for setup. [2025-05-07T22:55:53.987Z] [2025-05-07T22:55:53.987Z] TESTING: [2025-05-07T22:55:59.338Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-05-07T22:56:04.744Z] 15:56:03.832 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-05-07T22:56:06.175Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-07T22:56:06.595Z] Training: 60056, validation: 20285, test: 19854 [2025-05-07T22:56:06.596Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-07T22:56:06.596Z] GC before operation: completed in 92.626 ms, heap usage 243.543 MB -> 75.450 MB. [2025-05-07T22:56:13.265Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T22:56:17.700Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T22:56:22.035Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T22:56:24.881Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T22:56:26.916Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T22:56:28.919Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T22:56:30.930Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T22:56:32.922Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T22:56:32.922Z] 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. [2025-05-07T22:56:32.922Z] The best model improves the baseline by 14.52%. [2025-05-07T22:56:33.332Z] Top recommended movies for user id 72: [2025-05-07T22:56:33.333Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T22:56:33.333Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T22:56:33.333Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T22:56:33.333Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T22:56:33.333Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T22:56:33.333Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26591.037 ms) ====== [2025-05-07T22:56:33.333Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-07T22:56:33.333Z] GC before operation: completed in 85.456 ms, heap usage 127.407 MB -> 92.084 MB. [2025-05-07T22:56:36.747Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T22:56:40.206Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T22:56:42.874Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T22:56:45.555Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T22:56:46.932Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T22:56:48.936Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T22:56:50.296Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T22:56:52.255Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T22:56:52.255Z] 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. [2025-05-07T22:56:52.255Z] The best model improves the baseline by 14.52%. [2025-05-07T22:56:52.255Z] Top recommended movies for user id 72: [2025-05-07T22:56:52.255Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T22:56:52.255Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T22:56:52.255Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T22:56:52.255Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T22:56:52.255Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T22:56:52.255Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18959.311 ms) ====== [2025-05-07T22:56:52.255Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-07T22:56:52.255Z] GC before operation: completed in 75.231 ms, heap usage 268.775 MB -> 88.059 MB. [2025-05-07T22:56:55.698Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T22:56:58.357Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T22:57:01.808Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T22:57:04.501Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T22:57:06.538Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T22:57:08.482Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T22:57:10.453Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T22:57:12.434Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T22:57:12.434Z] 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. [2025-05-07T22:57:12.434Z] The best model improves the baseline by 14.52%. [2025-05-07T22:57:12.847Z] Top recommended movies for user id 72: [2025-05-07T22:57:12.847Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T22:57:12.847Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T22:57:12.847Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T22:57:12.847Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T22:57:12.847Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T22:57:12.847Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20357.189 ms) ====== [2025-05-07T22:57:12.847Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-07T22:57:12.847Z] GC before operation: completed in 96.230 ms, heap usage 740.418 MB -> 92.716 MB. [2025-05-07T22:57:17.124Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T22:57:19.773Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T22:57:23.143Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T22:57:25.130Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T22:57:27.770Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T22:57:29.125Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T22:57:31.061Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T22:57:32.420Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T22:57:32.841Z] 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. [2025-05-07T22:57:32.842Z] The best model improves the baseline by 14.52%. [2025-05-07T22:57:32.842Z] Top recommended movies for user id 72: [2025-05-07T22:57:32.842Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T22:57:32.842Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T22:57:32.842Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T22:57:32.842Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T22:57:32.842Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T22:57:32.842Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20059.434 ms) ====== [2025-05-07T22:57:32.842Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-07T22:57:32.842Z] GC before operation: completed in 76.407 ms, heap usage 176.365 MB -> 88.935 MB. [2025-05-07T22:57:37.174Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T22:57:41.610Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T22:57:44.226Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T22:57:47.649Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T22:57:49.597Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T22:57:50.978Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T22:57:52.957Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T22:57:54.376Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T22:57:54.837Z] 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. [2025-05-07T22:57:54.837Z] The best model improves the baseline by 14.52%. [2025-05-07T22:57:54.837Z] Top recommended movies for user id 72: [2025-05-07T22:57:54.837Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T22:57:54.837Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T22:57:54.837Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T22:57:54.837Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T22:57:54.837Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T22:57:54.837Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21977.688 ms) ====== [2025-05-07T22:57:54.837Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-07T22:57:55.236Z] GC before operation: completed in 94.769 ms, heap usage 929.143 MB -> 95.645 MB. [2025-05-07T22:57:58.672Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T22:58:01.364Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T22:58:05.039Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T22:58:08.470Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T22:58:09.862Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T22:58:11.804Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T22:58:13.768Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T22:58:15.729Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T22:58:15.729Z] 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. [2025-05-07T22:58:15.729Z] The best model improves the baseline by 14.52%. [2025-05-07T22:58:16.129Z] Top recommended movies for user id 72: [2025-05-07T22:58:16.129Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T22:58:16.129Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T22:58:16.129Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T22:58:16.129Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T22:58:16.129Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T22:58:16.129Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20893.969 ms) ====== [2025-05-07T22:58:16.129Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-07T22:58:16.129Z] GC before operation: completed in 84.662 ms, heap usage 470.190 MB -> 94.501 MB. [2025-05-07T22:58:20.500Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T22:58:23.946Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T22:58:28.283Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T22:58:30.932Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T22:58:32.897Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T22:58:34.868Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T22:58:36.273Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T22:58:38.217Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T22:58:38.624Z] 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. [2025-05-07T22:58:38.624Z] The best model improves the baseline by 14.52%. [2025-05-07T22:58:39.021Z] Top recommended movies for user id 72: [2025-05-07T22:58:39.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T22:58:39.022Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T22:58:39.022Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T22:58:39.022Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T22:58:39.022Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T22:58:39.022Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (22890.831 ms) ====== [2025-05-07T22:58:39.022Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-07T22:58:39.022Z] GC before operation: completed in 82.326 ms, heap usage 148.666 MB -> 92.473 MB. [2025-05-07T22:58:42.470Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T22:58:45.818Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T22:58:49.224Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T22:58:52.648Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T22:58:54.030Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T22:58:55.966Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T22:58:57.934Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T22:58:59.896Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T22:58:59.896Z] 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. [2025-05-07T22:58:59.896Z] The best model improves the baseline by 14.52%. [2025-05-07T22:59:00.310Z] Top recommended movies for user id 72: [2025-05-07T22:59:00.310Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T22:59:00.310Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T22:59:00.310Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T22:59:00.310Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T22:59:00.310Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T22:59:00.310Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21061.983 ms) ====== [2025-05-07T22:59:00.310Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-07T22:59:00.310Z] GC before operation: completed in 80.330 ms, heap usage 255.607 MB -> 90.800 MB. [2025-05-07T22:59:03.743Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T22:59:06.493Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T22:59:09.915Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T22:59:12.592Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T22:59:13.977Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T22:59:15.931Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T22:59:17.879Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T22:59:19.842Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T22:59:19.842Z] 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. [2025-05-07T22:59:19.842Z] The best model improves the baseline by 14.52%. [2025-05-07T22:59:20.253Z] Top recommended movies for user id 72: [2025-05-07T22:59:20.253Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T22:59:20.253Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T22:59:20.253Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T22:59:20.253Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T22:59:20.253Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T22:59:20.253Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19871.492 ms) ====== [2025-05-07T22:59:20.253Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-07T22:59:20.253Z] GC before operation: completed in 84.432 ms, heap usage 875.698 MB -> 94.109 MB. [2025-05-07T22:59:22.877Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T22:59:26.302Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T22:59:28.957Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T22:59:32.340Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T22:59:33.719Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T22:59:35.662Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T22:59:37.629Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T22:59:39.649Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T22:59:40.084Z] 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. [2025-05-07T22:59:40.084Z] The best model improves the baseline by 14.52%. [2025-05-07T22:59:40.084Z] Top recommended movies for user id 72: [2025-05-07T22:59:40.084Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T22:59:40.084Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T22:59:40.084Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T22:59:40.084Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T22:59:40.084Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T22:59:40.084Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19928.819 ms) ====== [2025-05-07T22:59:40.084Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-07T22:59:40.084Z] GC before operation: completed in 92.202 ms, heap usage 479.505 MB -> 90.078 MB. [2025-05-07T22:59:43.548Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T22:59:46.947Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T22:59:50.359Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T22:59:52.964Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T22:59:54.366Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T22:59:55.757Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T22:59:57.130Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T22:59:59.101Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T22:59:59.101Z] 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. [2025-05-07T22:59:59.101Z] The best model improves the baseline by 14.52%. [2025-05-07T22:59:59.511Z] Top recommended movies for user id 72: [2025-05-07T22:59:59.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T22:59:59.511Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T22:59:59.511Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T22:59:59.511Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T22:59:59.511Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T22:59:59.511Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19198.854 ms) ====== [2025-05-07T22:59:59.511Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-07T22:59:59.511Z] GC before operation: completed in 97.944 ms, heap usage 879.408 MB -> 94.240 MB. [2025-05-07T23:00:02.946Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T23:00:06.396Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T23:00:09.047Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T23:00:11.643Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T23:00:12.998Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T23:00:14.383Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T23:00:15.780Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T23:00:17.756Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T23:00:18.173Z] 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. [2025-05-07T23:00:18.173Z] The best model improves the baseline by 14.52%. [2025-05-07T23:00:18.577Z] Top recommended movies for user id 72: [2025-05-07T23:00:18.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T23:00:18.577Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T23:00:18.577Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T23:00:18.577Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T23:00:18.577Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T23:00:18.577Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18907.689 ms) ====== [2025-05-07T23:00:18.577Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-07T23:00:18.577Z] GC before operation: completed in 78.289 ms, heap usage 220.030 MB -> 89.535 MB. [2025-05-07T23:00:22.924Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T23:00:25.541Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T23:00:28.933Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T23:00:31.562Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T23:00:32.922Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T23:00:34.884Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T23:00:36.822Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T23:00:38.737Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T23:00:38.737Z] 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. [2025-05-07T23:00:38.737Z] The best model improves the baseline by 14.52%. [2025-05-07T23:00:39.134Z] Top recommended movies for user id 72: [2025-05-07T23:00:39.134Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T23:00:39.134Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T23:00:39.134Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T23:00:39.134Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T23:00:39.134Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T23:00:39.135Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20694.136 ms) ====== [2025-05-07T23:00:39.135Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-07T23:00:39.135Z] GC before operation: completed in 98.697 ms, heap usage 731.439 MB -> 93.804 MB. [2025-05-07T23:00:42.530Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T23:00:45.141Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T23:00:48.543Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T23:00:51.187Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T23:00:53.137Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T23:00:54.509Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T23:00:56.542Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T23:00:58.514Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T23:00:58.514Z] 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. [2025-05-07T23:00:58.514Z] The best model improves the baseline by 14.52%. [2025-05-07T23:00:58.514Z] Top recommended movies for user id 72: [2025-05-07T23:00:58.514Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T23:00:58.514Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T23:00:58.514Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T23:00:58.514Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T23:00:58.514Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T23:00:58.514Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19411.744 ms) ====== [2025-05-07T23:00:58.514Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-07T23:00:58.928Z] GC before operation: completed in 86.952 ms, heap usage 261.797 MB -> 89.697 MB. [2025-05-07T23:01:02.436Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T23:01:05.936Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T23:01:09.412Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T23:01:12.018Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T23:01:13.962Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T23:01:15.306Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T23:01:17.256Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T23:01:19.221Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T23:01:19.644Z] 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. [2025-05-07T23:01:19.644Z] The best model improves the baseline by 14.52%. [2025-05-07T23:01:19.644Z] Top recommended movies for user id 72: [2025-05-07T23:01:19.644Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T23:01:19.644Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T23:01:19.644Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T23:01:19.644Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T23:01:19.644Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T23:01:19.644Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20819.919 ms) ====== [2025-05-07T23:01:19.644Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-07T23:01:19.644Z] GC before operation: completed in 90.254 ms, heap usage 493.050 MB -> 92.037 MB. [2025-05-07T23:01:23.946Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T23:01:26.601Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T23:01:30.034Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T23:01:32.636Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T23:01:34.636Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T23:01:36.023Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T23:01:37.998Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T23:01:39.361Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T23:01:39.775Z] 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. [2025-05-07T23:01:39.775Z] The best model improves the baseline by 14.52%. [2025-05-07T23:01:39.775Z] Top recommended movies for user id 72: [2025-05-07T23:01:39.775Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T23:01:39.775Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T23:01:39.775Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T23:01:39.775Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T23:01:39.775Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T23:01:39.775Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20161.352 ms) ====== [2025-05-07T23:01:39.775Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-07T23:01:39.775Z] GC before operation: completed in 83.318 ms, heap usage 198.826 MB -> 91.337 MB. [2025-05-07T23:01:43.164Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T23:01:46.574Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T23:01:49.183Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T23:01:51.132Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T23:01:53.107Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T23:01:54.486Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T23:01:57.118Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T23:01:58.515Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T23:01:58.924Z] 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. [2025-05-07T23:01:58.924Z] The best model improves the baseline by 14.52%. [2025-05-07T23:01:58.924Z] Top recommended movies for user id 72: [2025-05-07T23:01:58.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T23:01:58.924Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T23:01:58.924Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T23:01:58.924Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T23:01:58.924Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T23:01:58.924Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19147.985 ms) ====== [2025-05-07T23:01:58.924Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-07T23:01:59.340Z] GC before operation: completed in 82.039 ms, heap usage 548.562 MB -> 93.400 MB. [2025-05-07T23:02:03.700Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T23:02:07.179Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T23:02:09.838Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T23:02:13.586Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T23:02:14.957Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T23:02:16.890Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T23:02:18.873Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T23:02:20.802Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T23:02:21.216Z] 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. [2025-05-07T23:02:21.216Z] The best model improves the baseline by 14.52%. [2025-05-07T23:02:21.216Z] Top recommended movies for user id 72: [2025-05-07T23:02:21.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T23:02:21.216Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T23:02:21.216Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T23:02:21.216Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T23:02:21.216Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T23:02:21.216Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (22221.932 ms) ====== [2025-05-07T23:02:21.216Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-07T23:02:21.635Z] GC before operation: completed in 77.611 ms, heap usage 243.689 MB -> 93.266 MB. [2025-05-07T23:02:25.936Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T23:02:29.332Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T23:02:32.001Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T23:02:35.382Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T23:02:36.767Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T23:02:38.126Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T23:02:40.046Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T23:02:42.034Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T23:02:42.486Z] 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. [2025-05-07T23:02:42.486Z] The best model improves the baseline by 14.52%. [2025-05-07T23:02:42.486Z] Top recommended movies for user id 72: [2025-05-07T23:02:42.486Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T23:02:42.486Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T23:02:42.486Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T23:02:42.486Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T23:02:42.486Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T23:02:42.486Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20954.523 ms) ====== [2025-05-07T23:02:42.486Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-07T23:02:42.486Z] GC before operation: completed in 93.499 ms, heap usage 899.323 MB -> 95.668 MB. [2025-05-07T23:02:45.908Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T23:02:49.349Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T23:02:52.738Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T23:02:55.329Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T23:02:57.270Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T23:02:59.880Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T23:03:01.258Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T23:03:03.251Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T23:03:03.251Z] 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. [2025-05-07T23:03:03.251Z] The best model improves the baseline by 14.52%. [2025-05-07T23:03:03.251Z] Top recommended movies for user id 72: [2025-05-07T23:03:03.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T23:03:03.251Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T23:03:03.251Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T23:03:03.251Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T23:03:03.251Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T23:03:03.251Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20878.910 ms) ====== [2025-05-07T23:03:04.141Z] ----------------------------------- [2025-05-07T23:03:04.141Z] renaissance-movie-lens_0_PASSED [2025-05-07T23:03:04.141Z] ----------------------------------- [2025-05-07T23:03:04.141Z] [2025-05-07T23:03:04.141Z] TEST TEARDOWN: [2025-05-07T23:03:04.141Z] Nothing to be done for teardown. [2025-05-07T23:03:04.141Z] renaissance-movie-lens_0 Finish Time: Wed May 7 16:03:03 2025 Epoch Time (ms): 1746658983433