[2025-10-03T21:16:08.124Z] Running test renaissance-movie-lens_0 ... [2025-10-03T21:16:08.124Z] =============================================== [2025-10-03T21:16:08.124Z] renaissance-movie-lens_0 Start Time: Fri Oct 3 14:16:07 2025 Epoch Time (ms): 1759526167171 [2025-10-03T21:16:08.124Z] variation: NoOptions [2025-10-03T21:16:08.124Z] JVM_OPTIONS: [2025-10-03T21:16:08.124Z] { \ [2025-10-03T21:16:08.124Z] echo ""; echo "TEST SETUP:"; \ [2025-10-03T21:16:08.124Z] echo "Nothing to be done for setup."; \ [2025-10-03T21:16:08.124Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17595223484180/renaissance-movie-lens_0"; \ [2025-10-03T21:16:08.124Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17595223484180/renaissance-movie-lens_0"; \ [2025-10-03T21:16:08.124Z] echo ""; echo "TESTING:"; \ [2025-10-03T21:16:08.124Z] "/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_17595223484180/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-03T21:16:08.125Z] 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_17595223484180/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-03T21:16:08.125Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-03T21:16:08.125Z] echo "Nothing to be done for teardown."; \ [2025-10-03T21:16:08.125Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17595223484180/TestTargetResult"; [2025-10-03T21:16:08.125Z] [2025-10-03T21:16:08.125Z] TEST SETUP: [2025-10-03T21:16:08.125Z] Nothing to be done for setup. [2025-10-03T21:16:08.125Z] [2025-10-03T21:16:08.125Z] TESTING: [2025-10-03T21:16:23.346Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-10-03T21:16:40.959Z] 14:16:39.381 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-10-03T21:16:46.878Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-03T21:16:47.817Z] Training: 60056, validation: 20285, test: 19854 [2025-10-03T21:16:47.817Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-03T21:16:47.817Z] GC before operation: completed in 289.002 ms, heap usage 409.984 MB -> 75.754 MB. [2025-10-03T21:17:13.712Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:17:28.964Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:17:44.320Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:17:57.142Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:18:04.680Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:18:12.472Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:18:19.484Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:18:27.213Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:18:27.730Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-03T21:18:28.159Z] The best model improves the baseline by 14.52%. [2025-10-03T21:18:28.609Z] Top recommended movies for user id 72: [2025-10-03T21:18:28.609Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-03T21:18:28.609Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-03T21:18:28.609Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-03T21:18:28.609Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-03T21:18:28.609Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-03T21:18:28.609Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (100743.117 ms) ====== [2025-10-03T21:18:28.609Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-03T21:18:29.603Z] GC before operation: completed in 541.291 ms, heap usage 447.997 MB -> 88.351 MB. [2025-10-03T21:18:42.268Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:18:57.449Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:19:07.953Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:19:20.122Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:19:26.973Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:19:35.832Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:19:43.013Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:19:51.987Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:19:52.549Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-03T21:19:52.549Z] The best model improves the baseline by 14.52%. [2025-10-03T21:19:53.050Z] Top recommended movies for user id 72: [2025-10-03T21:19:53.050Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-03T21:19:53.050Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-03T21:19:53.050Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-03T21:19:53.050Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-03T21:19:53.050Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-03T21:19:53.050Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (83743.631 ms) ====== [2025-10-03T21:19:53.050Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-03T21:19:53.506Z] GC before operation: completed in 364.591 ms, heap usage 244.597 MB -> 88.338 MB. [2025-10-03T21:20:06.197Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:20:19.212Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:20:32.243Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:20:47.567Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:20:57.075Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:21:03.023Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:21:10.717Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:21:19.983Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:21:20.412Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-03T21:21:20.412Z] The best model improves the baseline by 14.52%. [2025-10-03T21:21:21.519Z] Top recommended movies for user id 72: [2025-10-03T21:21:21.519Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-03T21:21:21.519Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-03T21:21:21.519Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-03T21:21:21.519Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-03T21:21:21.519Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-03T21:21:21.519Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (88075.368 ms) ====== [2025-10-03T21:21:21.519Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-03T21:21:22.436Z] GC before operation: completed in 396.544 ms, heap usage 448.351 MB -> 89.141 MB. [2025-10-03T21:21:37.404Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:21:47.721Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:22:02.875Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:22:15.986Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:22:24.919Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:22:31.188Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:22:40.215Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:22:48.938Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:22:48.938Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-03T21:22:48.938Z] The best model improves the baseline by 14.52%. [2025-10-03T21:22:49.404Z] Top recommended movies for user id 72: [2025-10-03T21:22:49.404Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-03T21:22:49.404Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-03T21:22:49.404Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-03T21:22:49.404Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-03T21:22:49.404Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-03T21:22:49.404Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (87657.163 ms) ====== [2025-10-03T21:22:49.404Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-03T21:22:49.949Z] GC before operation: completed in 325.666 ms, heap usage 840.788 MB -> 93.739 MB. [2025-10-03T21:23:02.700Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:23:15.146Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:23:25.259Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:23:40.193Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:23:47.262Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:23:54.429Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:24:01.607Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:24:08.672Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:24:09.102Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-03T21:24:09.102Z] The best model improves the baseline by 14.52%. [2025-10-03T21:24:10.078Z] Top recommended movies for user id 72: [2025-10-03T21:24:10.078Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-03T21:24:10.078Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-03T21:24:10.078Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-03T21:24:10.078Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-03T21:24:10.078Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-03T21:24:10.078Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (79979.503 ms) ====== [2025-10-03T21:24:10.078Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-03T21:24:11.040Z] GC before operation: completed in 950.136 ms, heap usage 206.598 MB -> 89.030 MB. [2025-10-03T21:24:25.966Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:24:36.814Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:24:49.402Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:24:59.839Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:25:07.520Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:25:16.111Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:25:22.201Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:25:27.301Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:25:29.071Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-03T21:25:29.071Z] The best model improves the baseline by 14.52%. [2025-10-03T21:25:29.071Z] Top recommended movies for user id 72: [2025-10-03T21:25:29.071Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-03T21:25:29.071Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-03T21:25:29.071Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-03T21:25:29.071Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-03T21:25:29.071Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-03T21:25:29.071Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (78327.246 ms) ====== [2025-10-03T21:25:29.071Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-03T21:25:29.656Z] GC before operation: completed in 301.144 ms, heap usage 445.618 MB -> 89.737 MB. [2025-10-03T21:25:42.409Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:25:52.550Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:26:00.962Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:26:09.431Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:26:15.374Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:26:20.044Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:26:24.580Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:26:29.358Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:26:30.955Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-03T21:26:30.955Z] The best model improves the baseline by 14.52%. [2025-10-03T21:26:31.513Z] Top recommended movies for user id 72: [2025-10-03T21:26:31.513Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-03T21:26:31.513Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-03T21:26:31.513Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-03T21:26:31.513Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-03T21:26:31.513Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-03T21:26:31.513Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (62180.836 ms) ====== [2025-10-03T21:26:31.513Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-03T21:26:32.077Z] GC before operation: completed in 419.635 ms, heap usage 345.462 MB -> 89.557 MB. [2025-10-03T21:26:44.678Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:26:57.309Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:27:07.982Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:27:20.518Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:27:28.922Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:27:34.643Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:27:43.183Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:27:50.109Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:27:50.553Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-03T21:27:50.974Z] The best model improves the baseline by 14.52%. [2025-10-03T21:27:51.425Z] Top recommended movies for user id 72: [2025-10-03T21:27:51.425Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-03T21:27:51.425Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-03T21:27:51.425Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-03T21:27:51.425Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-03T21:27:51.426Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-03T21:27:51.426Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (79150.928 ms) ====== [2025-10-03T21:27:51.426Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-03T21:27:52.436Z] GC before operation: completed in 394.133 ms, heap usage 869.206 MB -> 94.264 MB. [2025-10-03T21:28:04.885Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:28:17.272Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:28:29.757Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:28:40.428Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:28:47.802Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:28:56.723Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:29:05.756Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:29:12.163Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:29:13.068Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-03T21:29:13.068Z] The best model improves the baseline by 14.52%. [2025-10-03T21:29:13.653Z] Top recommended movies for user id 72: [2025-10-03T21:29:13.653Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-03T21:29:13.654Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-03T21:29:13.654Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-03T21:29:13.654Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-03T21:29:13.654Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-03T21:29:13.654Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (82066.964 ms) ====== [2025-10-03T21:29:13.654Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-03T21:29:14.195Z] GC before operation: completed in 632.453 ms, heap usage 627.508 MB -> 93.271 MB. [2025-10-03T21:29:26.639Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:29:41.348Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:29:49.955Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:30:02.388Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:30:08.536Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:30:15.493Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:30:22.415Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:30:29.194Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:30:29.609Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-03T21:30:29.609Z] The best model improves the baseline by 14.52%. [2025-10-03T21:30:30.102Z] Top recommended movies for user id 72: [2025-10-03T21:30:30.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-03T21:30:30.102Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-03T21:30:30.102Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-03T21:30:30.102Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-03T21:30:30.102Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-03T21:30:30.102Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (75754.678 ms) ====== [2025-10-03T21:30:30.102Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-03T21:30:30.542Z] GC before operation: completed in 452.256 ms, heap usage 174.396 MB -> 89.649 MB. [2025-10-03T21:30:45.035Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:30:55.309Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:31:07.722Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:31:20.303Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:31:25.589Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:31:32.936Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:31:39.922Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:31:46.000Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:31:47.841Z] 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. [2025-10-03T21:31:47.841Z] The best model improves the baseline by 14.52%. [2025-10-03T21:31:48.270Z] Top recommended movies for user id 72: [2025-10-03T21:31:48.270Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-03T21:31:48.270Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-03T21:31:48.270Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-03T21:31:48.270Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-03T21:31:48.270Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-03T21:31:48.270Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (77532.915 ms) ====== [2025-10-03T21:31:48.270Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-03T21:31:48.270Z] GC before operation: completed in 303.005 ms, heap usage 442.768 MB -> 89.843 MB. [2025-10-03T21:32:03.566Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:32:15.973Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:32:26.283Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:32:36.846Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:32:43.769Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:32:49.906Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:32:57.478Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:33:04.600Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:33:04.600Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-03T21:33:04.600Z] The best model improves the baseline by 14.52%. [2025-10-03T21:33:05.885Z] Top recommended movies for user id 72: [2025-10-03T21:33:05.885Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-03T21:33:05.885Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-03T21:33:05.885Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-03T21:33:05.885Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-03T21:33:05.885Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-03T21:33:05.885Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (77405.701 ms) ====== [2025-10-03T21:33:05.885Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-03T21:33:06.399Z] GC before operation: completed in 337.095 ms, heap usage 892.331 MB -> 94.432 MB. [2025-10-03T21:33:19.240Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:33:29.485Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:33:40.410Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:33:52.785Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:33:58.852Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:34:06.429Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:34:13.576Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:34:19.933Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:34:20.565Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-03T21:34:20.565Z] The best model improves the baseline by 14.52%. [2025-10-03T21:34:21.409Z] Top recommended movies for user id 72: [2025-10-03T21:34:21.409Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-03T21:34:21.409Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-03T21:34:21.409Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-03T21:34:21.409Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-03T21:34:21.409Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-03T21:34:21.409Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (74711.292 ms) ====== [2025-10-03T21:34:21.409Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-03T21:34:22.043Z] GC before operation: completed in 974.512 ms, heap usage 192.652 MB -> 89.780 MB. [2025-10-03T21:34:36.396Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:34:47.015Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:35:05.334Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:35:14.266Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:35:20.334Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:35:26.226Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:35:33.629Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:35:38.440Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:35:39.419Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-03T21:35:39.419Z] The best model improves the baseline by 14.52%. [2025-10-03T21:35:39.950Z] Top recommended movies for user id 72: [2025-10-03T21:35:39.950Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-03T21:35:39.950Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-03T21:35:39.950Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-03T21:35:39.950Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-03T21:35:39.950Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-03T21:35:39.950Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (78226.726 ms) ====== [2025-10-03T21:35:39.950Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-03T21:35:41.013Z] GC before operation: completed in 382.005 ms, heap usage 404.801 MB -> 89.972 MB. [2025-10-03T21:35:53.997Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:36:04.669Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:36:17.631Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:36:28.238Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:36:32.768Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:36:39.779Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:36:44.420Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:36:49.307Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:36:50.244Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-03T21:36:50.244Z] The best model improves the baseline by 14.52%. [2025-10-03T21:36:50.244Z] Top recommended movies for user id 72: [2025-10-03T21:36:50.244Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-03T21:36:50.244Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-03T21:36:50.244Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-03T21:36:50.244Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-03T21:36:50.244Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-03T21:36:50.244Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (69915.644 ms) ====== [2025-10-03T21:36:50.244Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-03T21:36:50.655Z] GC before operation: completed in 415.742 ms, heap usage 506.210 MB -> 93.429 MB. [2025-10-03T21:37:01.280Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:37:09.787Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:37:20.085Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:37:28.700Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:37:33.440Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:37:38.155Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:37:43.653Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:37:49.851Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:37:50.889Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-03T21:37:50.889Z] The best model improves the baseline by 14.52%. [2025-10-03T21:37:51.448Z] Top recommended movies for user id 72: [2025-10-03T21:37:51.448Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-03T21:37:51.448Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-03T21:37:51.448Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-03T21:37:51.448Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-03T21:37:51.448Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-03T21:37:51.448Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (60573.966 ms) ====== [2025-10-03T21:37:51.448Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-03T21:37:51.970Z] GC before operation: completed in 581.281 ms, heap usage 725.850 MB -> 93.586 MB. [2025-10-03T21:38:04.959Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:38:20.273Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:38:30.657Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:38:41.132Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:38:48.190Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:38:54.092Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:39:01.126Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:39:07.117Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:39:08.002Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-03T21:39:08.002Z] The best model improves the baseline by 14.52%. [2025-10-03T21:39:08.002Z] Top recommended movies for user id 72: [2025-10-03T21:39:08.002Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-03T21:39:08.002Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-03T21:39:08.002Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-03T21:39:08.002Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-03T21:39:08.002Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-03T21:39:08.002Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (76276.605 ms) ====== [2025-10-03T21:39:08.002Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-03T21:39:08.549Z] GC before operation: completed in 382.813 ms, heap usage 991.914 MB -> 95.015 MB. [2025-10-03T21:39:23.212Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:39:35.675Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:39:45.979Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:39:56.818Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:40:02.646Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:40:09.712Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:40:15.764Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:40:22.686Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:40:23.655Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-03T21:40:23.655Z] The best model improves the baseline by 14.52%. [2025-10-03T21:40:24.533Z] Top recommended movies for user id 72: [2025-10-03T21:40:24.533Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-03T21:40:24.533Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-03T21:40:24.533Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-03T21:40:24.533Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-03T21:40:24.533Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-03T21:40:24.533Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (75314.339 ms) ====== [2025-10-03T21:40:24.533Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-03T21:40:24.533Z] GC before operation: completed in 276.108 ms, heap usage 683.377 MB -> 93.539 MB. [2025-10-03T21:40:39.489Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:40:49.982Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:41:02.081Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:41:12.525Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:41:20.769Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:41:27.804Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:41:34.839Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:41:42.229Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:41:42.229Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-03T21:41:42.229Z] The best model improves the baseline by 14.52%. [2025-10-03T21:41:43.224Z] Top recommended movies for user id 72: [2025-10-03T21:41:43.224Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-03T21:41:43.224Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-03T21:41:43.224Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-03T21:41:43.224Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-03T21:41:43.224Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-03T21:41:43.224Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (78988.754 ms) ====== [2025-10-03T21:41:43.224Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-03T21:41:43.718Z] GC before operation: completed in 436.635 ms, heap usage 206.182 MB -> 89.627 MB. [2025-10-03T21:41:58.575Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:42:13.547Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:42:22.734Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:42:35.381Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:42:41.716Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:42:48.815Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:42:56.182Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:43:01.956Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:43:03.067Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-03T21:43:03.067Z] The best model improves the baseline by 14.52%. [2025-10-03T21:43:03.484Z] Top recommended movies for user id 72: [2025-10-03T21:43:03.484Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-03T21:43:03.484Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-03T21:43:03.484Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-03T21:43:03.484Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-03T21:43:03.484Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-03T21:43:03.484Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (79705.864 ms) ====== [2025-10-03T21:43:07.904Z] ----------------------------------- [2025-10-03T21:43:07.904Z] renaissance-movie-lens_0_PASSED [2025-10-03T21:43:07.904Z] ----------------------------------- [2025-10-03T21:43:07.904Z] [2025-10-03T21:43:07.904Z] TEST TEARDOWN: [2025-10-03T21:43:07.904Z] Nothing to be done for teardown. [2025-10-03T21:43:08.315Z] renaissance-movie-lens_0 Finish Time: Fri Oct 3 14:43:07 2025 Epoch Time (ms): 1759527787618