[2025-06-29T21:02:20.801Z] Running test renaissance-movie-lens_0 ... [2025-06-29T21:02:20.801Z] =============================================== [2025-06-29T21:02:20.801Z] renaissance-movie-lens_0 Start Time: Sun Jun 29 14:02:19 2025 Epoch Time (ms): 1751230939863 [2025-06-29T21:02:20.801Z] variation: NoOptions [2025-06-29T21:02:20.801Z] JVM_OPTIONS: [2025-06-29T21:02:20.801Z] { \ [2025-06-29T21:02:20.801Z] echo ""; echo "TEST SETUP:"; \ [2025-06-29T21:02:20.801Z] echo "Nothing to be done for setup."; \ [2025-06-29T21:02:20.801Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17512272867334/renaissance-movie-lens_0"; \ [2025-06-29T21:02:20.801Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17512272867334/renaissance-movie-lens_0"; \ [2025-06-29T21:02:20.801Z] echo ""; echo "TESTING:"; \ [2025-06-29T21:02:20.801Z] "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17512272867334/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-29T21:02:20.801Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17512272867334/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-29T21:02:20.801Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-29T21:02:20.801Z] echo "Nothing to be done for teardown."; \ [2025-06-29T21:02:20.801Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17512272867334/TestTargetResult"; [2025-06-29T21:02:20.801Z] [2025-06-29T21:02:20.801Z] TEST SETUP: [2025-06-29T21:02:20.801Z] Nothing to be done for setup. [2025-06-29T21:02:20.801Z] [2025-06-29T21:02:20.801Z] TESTING: [2025-06-29T21:02:35.631Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-06-29T21:02:56.446Z] 14:02:52.977 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. [2025-06-29T21:03:00.671Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-29T21:03:02.703Z] Training: 60056, validation: 20285, test: 19854 [2025-06-29T21:03:02.703Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-29T21:03:02.703Z] GC before operation: completed in 476.618 ms, heap usage 397.544 MB -> 75.763 MB. [2025-06-29T21:03:24.498Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:03:39.607Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:03:55.078Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:04:05.735Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:04:14.674Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:04:21.814Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:04:29.206Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:04:36.868Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:04:36.868Z] 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. [2025-06-29T21:04:37.388Z] The best model improves the baseline by 14.52%. [2025-06-29T21:04:38.287Z] Top recommended movies for user id 72: [2025-06-29T21:04:38.287Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-29T21:04:38.287Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-29T21:04:38.287Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-29T21:04:38.287Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-29T21:04:38.287Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-29T21:04:38.287Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (95547.043 ms) ====== [2025-06-29T21:04:38.287Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-29T21:04:38.287Z] GC before operation: completed in 349.746 ms, heap usage 236.416 MB -> 87.988 MB. [2025-06-29T21:04:51.088Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:05:03.601Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:05:18.842Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:05:31.472Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:05:38.614Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:05:45.394Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:05:56.328Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:06:03.692Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:06:05.265Z] 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. [2025-06-29T21:06:05.265Z] The best model improves the baseline by 14.52%. [2025-06-29T21:06:06.373Z] Top recommended movies for user id 72: [2025-06-29T21:06:06.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-29T21:06:06.373Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-29T21:06:06.373Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-29T21:06:06.373Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-29T21:06:06.373Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-29T21:06:06.373Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (88043.121 ms) ====== [2025-06-29T21:06:06.373Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-29T21:06:06.915Z] GC before operation: completed in 385.432 ms, heap usage 244.944 MB -> 88.100 MB. [2025-06-29T21:06:20.163Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:06:33.042Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:06:45.458Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:06:58.707Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:07:06.166Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:07:14.997Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:07:23.470Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:07:31.889Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:07:32.315Z] 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. [2025-06-29T21:07:32.316Z] The best model improves the baseline by 14.52%. [2025-06-29T21:07:33.522Z] Top recommended movies for user id 72: [2025-06-29T21:07:33.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-29T21:07:33.522Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-29T21:07:33.522Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-29T21:07:33.522Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-29T21:07:33.522Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-29T21:07:33.522Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (86283.955 ms) ====== [2025-06-29T21:07:33.522Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-29T21:07:33.522Z] GC before operation: completed in 375.736 ms, heap usage 155.019 MB -> 88.729 MB. [2025-06-29T21:07:48.173Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:07:58.714Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:08:11.597Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:08:26.536Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:08:32.633Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:08:41.405Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:08:48.686Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:08:54.737Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:08:54.737Z] 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. [2025-06-29T21:08:55.189Z] The best model improves the baseline by 14.52%. [2025-06-29T21:08:55.189Z] Top recommended movies for user id 72: [2025-06-29T21:08:55.189Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-29T21:08:55.189Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-29T21:08:55.189Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-29T21:08:55.189Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-29T21:08:55.189Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-29T21:08:55.189Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (81682.798 ms) ====== [2025-06-29T21:08:55.189Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-29T21:08:56.116Z] GC before operation: completed in 372.777 ms, heap usage 801.150 MB -> 93.463 MB. [2025-06-29T21:09:08.924Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:09:20.976Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:09:31.680Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:09:43.907Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:09:51.276Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:09:57.070Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:10:04.164Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:10:12.858Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:10:12.858Z] 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. [2025-06-29T21:10:12.858Z] The best model improves the baseline by 14.52%. [2025-06-29T21:10:13.373Z] Top recommended movies for user id 72: [2025-06-29T21:10:13.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-29T21:10:13.373Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-29T21:10:13.373Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-29T21:10:13.373Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-29T21:10:13.373Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-29T21:10:13.373Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (77844.137 ms) ====== [2025-06-29T21:10:13.373Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-29T21:10:14.343Z] GC before operation: completed in 491.956 ms, heap usage 817.978 MB -> 93.398 MB. [2025-06-29T21:10:29.494Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:10:38.154Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:10:48.567Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:11:00.973Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:11:07.690Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:11:12.808Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:11:20.973Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:11:26.154Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:11:27.684Z] 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. [2025-06-29T21:11:27.684Z] The best model improves the baseline by 14.52%. [2025-06-29T21:11:28.632Z] Top recommended movies for user id 72: [2025-06-29T21:11:28.632Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-29T21:11:28.632Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-29T21:11:28.632Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-29T21:11:28.632Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-29T21:11:28.632Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-29T21:11:28.632Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (74437.952 ms) ====== [2025-06-29T21:11:28.632Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-29T21:11:28.632Z] GC before operation: completed in 441.158 ms, heap usage 233.761 MB -> 89.256 MB. [2025-06-29T21:11:43.214Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:11:55.554Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:12:06.550Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:12:15.568Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:12:19.337Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:12:24.206Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:12:29.945Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:12:33.738Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:12:34.712Z] 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. [2025-06-29T21:12:34.712Z] The best model improves the baseline by 14.52%. [2025-06-29T21:12:34.712Z] Top recommended movies for user id 72: [2025-06-29T21:12:34.712Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-29T21:12:34.712Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-29T21:12:34.712Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-29T21:12:34.712Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-29T21:12:34.712Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-29T21:12:34.712Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (65984.975 ms) ====== [2025-06-29T21:12:34.712Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-29T21:12:35.326Z] GC before operation: completed in 466.869 ms, heap usage 680.131 MB -> 93.158 MB. [2025-06-29T21:12:45.835Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:12:52.548Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:13:03.163Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:13:13.951Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:13:19.573Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:13:26.707Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:13:33.960Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:13:39.772Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:13:40.348Z] 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. [2025-06-29T21:13:40.348Z] The best model improves the baseline by 14.52%. [2025-06-29T21:13:41.024Z] Top recommended movies for user id 72: [2025-06-29T21:13:41.024Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-29T21:13:41.024Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-29T21:13:41.024Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-29T21:13:41.024Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-29T21:13:41.024Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-29T21:13:41.024Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (65768.346 ms) ====== [2025-06-29T21:13:41.024Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-29T21:13:41.637Z] GC before operation: completed in 626.437 ms, heap usage 965.685 MB -> 94.613 MB. [2025-06-29T21:13:54.226Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:14:04.361Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:14:16.608Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:14:25.447Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:14:30.134Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:14:37.479Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:14:44.537Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:14:51.666Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:14:52.340Z] 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. [2025-06-29T21:14:52.928Z] The best model improves the baseline by 14.52%. [2025-06-29T21:14:53.435Z] Top recommended movies for user id 72: [2025-06-29T21:14:53.435Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-29T21:14:53.435Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-29T21:14:53.435Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-29T21:14:53.435Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-29T21:14:53.435Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-29T21:14:53.435Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (71723.095 ms) ====== [2025-06-29T21:14:53.435Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-29T21:14:53.997Z] GC before operation: completed in 351.254 ms, heap usage 257.129 MB -> 89.529 MB. [2025-06-29T21:15:06.846Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:15:18.945Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:15:28.972Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:15:39.221Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:15:43.948Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:15:49.523Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:15:55.468Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:16:02.351Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:16:02.351Z] 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. [2025-06-29T21:16:02.351Z] The best model improves the baseline by 14.52%. [2025-06-29T21:16:02.836Z] Top recommended movies for user id 72: [2025-06-29T21:16:02.836Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-29T21:16:02.836Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-29T21:16:02.836Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-29T21:16:02.836Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-29T21:16:02.836Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-29T21:16:02.836Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (69021.780 ms) ====== [2025-06-29T21:16:02.836Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-29T21:16:03.370Z] GC before operation: completed in 344.709 ms, heap usage 690.363 MB -> 93.542 MB. [2025-06-29T21:16:18.644Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:16:28.886Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:16:39.241Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:16:49.476Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:16:56.934Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:17:04.068Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:17:10.518Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:17:19.207Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:17:20.178Z] 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. [2025-06-29T21:17:20.178Z] The best model improves the baseline by 14.52%. [2025-06-29T21:17:21.184Z] Top recommended movies for user id 72: [2025-06-29T21:17:21.184Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-29T21:17:21.184Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-29T21:17:21.184Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-29T21:17:21.184Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-29T21:17:21.184Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-29T21:17:21.184Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (77839.103 ms) ====== [2025-06-29T21:17:21.184Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-29T21:17:21.651Z] GC before operation: completed in 434.308 ms, heap usage 931.117 MB -> 94.440 MB. [2025-06-29T21:17:34.785Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:17:47.011Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:17:57.969Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:18:06.577Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:18:11.093Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:18:16.865Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:18:23.040Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:18:28.822Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:18:29.694Z] 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. [2025-06-29T21:18:30.111Z] The best model improves the baseline by 14.52%. [2025-06-29T21:18:31.167Z] Top recommended movies for user id 72: [2025-06-29T21:18:31.167Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-29T21:18:31.167Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-29T21:18:31.167Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-29T21:18:31.167Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-29T21:18:31.167Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-29T21:18:31.167Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (69233.066 ms) ====== [2025-06-29T21:18:31.167Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-29T21:18:31.167Z] GC before operation: completed in 319.914 ms, heap usage 639.175 MB -> 93.484 MB. [2025-06-29T21:18:43.487Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:18:53.618Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:19:04.363Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:19:12.892Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:19:19.858Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:19:24.824Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:19:30.663Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:19:36.435Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:19:36.994Z] 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. [2025-06-29T21:19:36.994Z] The best model improves the baseline by 14.52%. [2025-06-29T21:19:37.527Z] Top recommended movies for user id 72: [2025-06-29T21:19:37.527Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-29T21:19:37.527Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-29T21:19:37.527Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-29T21:19:37.527Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-29T21:19:37.527Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-29T21:19:37.527Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (66559.986 ms) ====== [2025-06-29T21:19:37.527Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-29T21:19:37.967Z] GC before operation: completed in 338.838 ms, heap usage 253.294 MB -> 89.914 MB. [2025-06-29T21:19:50.057Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:20:00.437Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:20:11.116Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:20:21.312Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:20:27.068Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:20:33.105Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:20:39.049Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:20:44.785Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:20:45.750Z] 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. [2025-06-29T21:20:45.750Z] The best model improves the baseline by 14.52%. [2025-06-29T21:20:46.187Z] Top recommended movies for user id 72: [2025-06-29T21:20:46.187Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-29T21:20:46.187Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-29T21:20:46.187Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-29T21:20:46.187Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-29T21:20:46.187Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-29T21:20:46.187Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (68141.942 ms) ====== [2025-06-29T21:20:46.187Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-29T21:20:46.187Z] GC before operation: completed in 242.052 ms, heap usage 403.449 MB -> 89.966 MB. [2025-06-29T21:20:56.744Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:21:05.057Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:21:17.869Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:21:28.123Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:21:34.028Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:21:39.703Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:21:46.160Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:21:52.248Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:21:52.777Z] 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. [2025-06-29T21:21:52.777Z] The best model improves the baseline by 14.52%. [2025-06-29T21:21:53.214Z] Top recommended movies for user id 72: [2025-06-29T21:21:53.214Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-29T21:21:53.214Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-29T21:21:53.214Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-29T21:21:53.214Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-29T21:21:53.214Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-29T21:21:53.214Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (66820.159 ms) ====== [2025-06-29T21:21:53.214Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-29T21:21:53.214Z] GC before operation: completed in 316.244 ms, heap usage 244.556 MB -> 89.913 MB. [2025-06-29T21:22:06.098Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:22:14.579Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:22:22.955Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:22:30.246Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:22:34.872Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:22:39.438Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:22:43.852Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:22:50.746Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:22:52.005Z] 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. [2025-06-29T21:22:52.005Z] The best model improves the baseline by 14.52%. [2025-06-29T21:22:52.478Z] Top recommended movies for user id 72: [2025-06-29T21:22:52.478Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-29T21:22:52.478Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-29T21:22:52.478Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-29T21:22:52.478Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-29T21:22:52.478Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-29T21:22:52.478Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (59168.621 ms) ====== [2025-06-29T21:22:52.478Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-29T21:22:52.991Z] GC before operation: completed in 408.320 ms, heap usage 217.909 MB -> 89.958 MB. [2025-06-29T21:23:01.326Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:23:11.634Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:23:23.641Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:23:34.323Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:23:40.233Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:23:45.020Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:23:52.535Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:23:56.470Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:23:57.424Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-29T21:23:57.424Z] The best model improves the baseline by 14.52%. [2025-06-29T21:23:57.424Z] Top recommended movies for user id 72: [2025-06-29T21:23:57.424Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-29T21:23:57.424Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-29T21:23:57.424Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-29T21:23:57.424Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-29T21:23:57.424Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-29T21:23:57.424Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (64621.366 ms) ====== [2025-06-29T21:23:57.424Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-29T21:23:57.888Z] GC before operation: completed in 423.770 ms, heap usage 1.066 GB -> 95.324 MB. [2025-06-29T21:24:08.440Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:24:18.774Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:24:27.450Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:24:37.649Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:24:43.113Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:24:48.665Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:24:54.467Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:25:00.413Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:25:01.032Z] 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. [2025-06-29T21:25:01.032Z] The best model improves the baseline by 14.52%. [2025-06-29T21:25:01.702Z] Top recommended movies for user id 72: [2025-06-29T21:25:01.702Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-29T21:25:01.702Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-29T21:25:01.702Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-29T21:25:01.702Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-29T21:25:01.702Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-29T21:25:01.702Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (63569.333 ms) ====== [2025-06-29T21:25:01.702Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-29T21:25:01.702Z] GC before operation: completed in 279.575 ms, heap usage 406.705 MB -> 89.969 MB. [2025-06-29T21:25:12.198Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:25:20.530Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:25:31.126Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:25:39.244Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:25:43.711Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:25:49.275Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:25:55.113Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:25:59.603Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:26:00.451Z] 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. [2025-06-29T21:26:00.451Z] The best model improves the baseline by 14.52%. [2025-06-29T21:26:00.896Z] Top recommended movies for user id 72: [2025-06-29T21:26:00.896Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-29T21:26:00.897Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-29T21:26:00.897Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-29T21:26:00.897Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-29T21:26:00.897Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-29T21:26:00.897Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (58954.931 ms) ====== [2025-06-29T21:26:00.897Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-29T21:26:01.390Z] GC before operation: completed in 268.335 ms, heap usage 445.687 MB -> 90.098 MB. [2025-06-29T21:26:11.742Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:26:21.932Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:26:30.679Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:26:39.286Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:26:45.436Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:26:52.448Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:26:59.358Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:27:05.261Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:27:05.772Z] 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. [2025-06-29T21:27:05.772Z] The best model improves the baseline by 14.52%. [2025-06-29T21:27:06.244Z] Top recommended movies for user id 72: [2025-06-29T21:27:06.244Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-29T21:27:06.244Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-29T21:27:06.244Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-29T21:27:06.244Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-29T21:27:06.244Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-29T21:27:06.244Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (65182.581 ms) ====== [2025-06-29T21:27:10.628Z] ----------------------------------- [2025-06-29T21:27:10.628Z] renaissance-movie-lens_0_PASSED [2025-06-29T21:27:10.628Z] ----------------------------------- [2025-06-29T21:27:10.628Z] [2025-06-29T21:27:10.628Z] TEST TEARDOWN: [2025-06-29T21:27:10.628Z] Nothing to be done for teardown. [2025-06-29T21:27:10.628Z] renaissance-movie-lens_0 Finish Time: Sun Jun 29 14:27:09 2025 Epoch Time (ms): 1751232429799