[2025-07-01T01:42:47.315Z] Running test renaissance-movie-lens_0 ... [2025-07-01T01:42:47.315Z] =============================================== [2025-07-01T01:42:47.315Z] renaissance-movie-lens_0 Start Time: Mon Jun 30 21:42:46 2025 Epoch Time (ms): 1751334166884 [2025-07-01T01:42:47.315Z] variation: NoOptions [2025-07-01T01:42:47.315Z] JVM_OPTIONS: [2025-07-01T01:42:47.315Z] { \ [2025-07-01T01:42:47.315Z] echo ""; echo "TEST SETUP:"; \ [2025-07-01T01:42:47.315Z] echo "Nothing to be done for setup."; \ [2025-07-01T01:42:47.315Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17513336089673/renaissance-movie-lens_0"; \ [2025-07-01T01:42:47.315Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17513336089673/renaissance-movie-lens_0"; \ [2025-07-01T01:42:47.315Z] echo ""; echo "TESTING:"; \ [2025-07-01T01:42:47.315Z] "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17513336089673/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-07-01T01:42:47.315Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17513336089673/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-07-01T01:42:47.315Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-07-01T01:42:47.315Z] echo "Nothing to be done for teardown."; \ [2025-07-01T01:42:47.315Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17513336089673/TestTargetResult"; [2025-07-01T01:42:47.315Z] [2025-07-01T01:42:47.315Z] TEST SETUP: [2025-07-01T01:42:47.315Z] Nothing to be done for setup. [2025-07-01T01:42:47.315Z] [2025-07-01T01:42:47.315Z] TESTING: [2025-07-01T01:42:50.413Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-07-01T01:42:52.800Z] 21:42:52.512 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. [2025-07-01T01:42:53.594Z] Got 100004 ratings from 671 users on 9066 movies. [2025-07-01T01:42:53.989Z] Training: 60056, validation: 20285, test: 19854 [2025-07-01T01:42:53.989Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-07-01T01:42:53.989Z] GC before operation: completed in 60.254 ms, heap usage 402.339 MB -> 75.996 MB. [2025-07-01T01:42:57.094Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T01:42:58.331Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T01:43:00.102Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T01:43:01.921Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T01:43:02.751Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T01:43:03.544Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T01:43:04.323Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T01:43:05.119Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T01:43:05.469Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-01T01:43:05.469Z] The best model improves the baseline by 14.52%. [2025-07-01T01:43:05.469Z] Top recommended movies for user id 72: [2025-07-01T01:43:05.469Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-01T01:43:05.469Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-01T01:43:05.469Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-01T01:43:05.469Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-01T01:43:05.469Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-01T01:43:05.469Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (11587.300 ms) ====== [2025-07-01T01:43:05.469Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-07-01T01:43:05.469Z] GC before operation: completed in 70.714 ms, heap usage 168.060 MB -> 90.458 MB. [2025-07-01T01:43:07.285Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T01:43:08.519Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T01:43:09.757Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T01:43:10.983Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T01:43:11.765Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T01:43:12.544Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T01:43:13.814Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T01:43:14.162Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T01:43:14.515Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-01T01:43:14.515Z] The best model improves the baseline by 14.52%. [2025-07-01T01:43:14.515Z] Top recommended movies for user id 72: [2025-07-01T01:43:14.515Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-01T01:43:14.515Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-01T01:43:14.515Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-01T01:43:14.515Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-01T01:43:14.515Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-01T01:43:14.515Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (8923.752 ms) ====== [2025-07-01T01:43:14.515Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-07-01T01:43:14.515Z] GC before operation: completed in 60.229 ms, heap usage 109.997 MB -> 91.263 MB. [2025-07-01T01:43:15.735Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T01:43:17.493Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T01:43:18.275Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T01:43:20.052Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T01:43:20.829Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T01:43:21.636Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T01:43:22.006Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T01:43:22.774Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T01:43:22.774Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-01T01:43:23.140Z] The best model improves the baseline by 14.52%. [2025-07-01T01:43:23.140Z] Top recommended movies for user id 72: [2025-07-01T01:43:23.140Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-01T01:43:23.140Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-01T01:43:23.140Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-01T01:43:23.140Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-01T01:43:23.141Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-01T01:43:23.141Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (8466.515 ms) ====== [2025-07-01T01:43:23.141Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-07-01T01:43:23.141Z] GC before operation: completed in 66.774 ms, heap usage 244.010 MB -> 89.240 MB. [2025-07-01T01:43:24.377Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T01:43:25.611Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T01:43:26.880Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T01:43:28.101Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T01:43:28.460Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T01:43:29.218Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T01:43:30.021Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T01:43:30.780Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T01:43:30.780Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-01T01:43:30.780Z] The best model improves the baseline by 14.52%. [2025-07-01T01:43:30.780Z] Top recommended movies for user id 72: [2025-07-01T01:43:30.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-01T01:43:30.780Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-01T01:43:30.780Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-01T01:43:30.780Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-01T01:43:30.780Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-01T01:43:30.780Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (7780.361 ms) ====== [2025-07-01T01:43:30.780Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-07-01T01:43:31.134Z] GC before operation: completed in 54.803 ms, heap usage 438.202 MB -> 89.966 MB. [2025-07-01T01:43:31.903Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T01:43:33.143Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T01:43:34.372Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T01:43:35.592Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T01:43:36.374Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T01:43:37.139Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T01:43:37.904Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T01:43:38.677Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T01:43:38.677Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-01T01:43:38.677Z] The best model improves the baseline by 14.52%. [2025-07-01T01:43:39.037Z] Top recommended movies for user id 72: [2025-07-01T01:43:39.037Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-01T01:43:39.037Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-01T01:43:39.037Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-01T01:43:39.037Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-01T01:43:39.037Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-01T01:43:39.037Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (7939.722 ms) ====== [2025-07-01T01:43:39.037Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-07-01T01:43:39.037Z] GC before operation: completed in 50.742 ms, heap usage 318.326 MB -> 89.538 MB. [2025-07-01T01:43:40.258Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T01:43:41.487Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T01:43:42.700Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T01:43:43.928Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T01:43:44.303Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T01:43:45.075Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T01:43:45.863Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T01:43:46.642Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T01:43:46.993Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-01T01:43:46.994Z] The best model improves the baseline by 14.52%. [2025-07-01T01:43:46.994Z] Top recommended movies for user id 72: [2025-07-01T01:43:46.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-01T01:43:46.994Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-01T01:43:46.994Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-01T01:43:46.994Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-01T01:43:46.994Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-01T01:43:46.994Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (7972.512 ms) ====== [2025-07-01T01:43:46.994Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-07-01T01:43:46.994Z] GC before operation: completed in 64.215 ms, heap usage 340.380 MB -> 89.918 MB. [2025-07-01T01:43:48.237Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T01:43:49.492Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T01:43:50.738Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T01:43:51.967Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T01:43:52.771Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T01:43:53.127Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T01:43:53.886Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T01:43:54.662Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T01:43:54.662Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-01T01:43:54.662Z] The best model improves the baseline by 14.52%. [2025-07-01T01:43:54.662Z] Top recommended movies for user id 72: [2025-07-01T01:43:54.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-01T01:43:54.662Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-01T01:43:54.662Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-01T01:43:54.662Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-01T01:43:54.662Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-01T01:43:54.662Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (7814.026 ms) ====== [2025-07-01T01:43:54.662Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-07-01T01:43:55.016Z] GC before operation: completed in 53.455 ms, heap usage 115.147 MB -> 89.569 MB. [2025-07-01T01:43:56.265Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T01:43:57.038Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T01:43:58.268Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T01:43:59.490Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T01:44:00.278Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T01:44:00.656Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T01:44:01.461Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T01:44:02.269Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T01:44:02.269Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-01T01:44:02.269Z] The best model improves the baseline by 14.52%. [2025-07-01T01:44:02.269Z] Top recommended movies for user id 72: [2025-07-01T01:44:02.269Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-01T01:44:02.269Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-01T01:44:02.269Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-01T01:44:02.269Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-01T01:44:02.269Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-01T01:44:02.269Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (7492.409 ms) ====== [2025-07-01T01:44:02.269Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-07-01T01:44:02.269Z] GC before operation: completed in 54.099 ms, heap usage 113.089 MB -> 91.871 MB. [2025-07-01T01:44:03.530Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T01:44:04.805Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T01:44:05.595Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T01:44:06.874Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T01:44:07.632Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T01:44:08.393Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T01:44:09.152Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T01:44:09.926Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T01:44:09.926Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-01T01:44:09.926Z] The best model improves the baseline by 14.52%. [2025-07-01T01:44:09.926Z] Top recommended movies for user id 72: [2025-07-01T01:44:09.926Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-01T01:44:09.926Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-01T01:44:09.926Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-01T01:44:09.926Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-01T01:44:09.926Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-01T01:44:09.926Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (7496.806 ms) ====== [2025-07-01T01:44:09.926Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-07-01T01:44:09.926Z] GC before operation: completed in 53.772 ms, heap usage 432.521 MB -> 90.141 MB. [2025-07-01T01:44:11.153Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T01:44:12.388Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T01:44:13.606Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T01:44:14.878Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T01:44:15.238Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T01:44:16.007Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T01:44:16.766Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T01:44:17.561Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T01:44:17.561Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-01T01:44:17.561Z] The best model improves the baseline by 14.52%. [2025-07-01T01:44:17.561Z] Top recommended movies for user id 72: [2025-07-01T01:44:17.561Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-01T01:44:17.561Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-01T01:44:17.561Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-01T01:44:17.561Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-01T01:44:17.561Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-01T01:44:17.561Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (7639.803 ms) ====== [2025-07-01T01:44:17.561Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-07-01T01:44:17.561Z] GC before operation: completed in 64.494 ms, heap usage 263.147 MB -> 90.137 MB. [2025-07-01T01:44:18.790Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T01:44:20.019Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T01:44:21.267Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T01:44:22.495Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T01:44:23.266Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T01:44:24.024Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T01:44:24.784Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T01:44:25.548Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T01:44:25.548Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-01T01:44:25.548Z] The best model improves the baseline by 14.52%. [2025-07-01T01:44:25.548Z] Top recommended movies for user id 72: [2025-07-01T01:44:25.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-01T01:44:25.548Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-01T01:44:25.548Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-01T01:44:25.548Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-01T01:44:25.548Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-01T01:44:25.548Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (7944.870 ms) ====== [2025-07-01T01:44:25.548Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-07-01T01:44:25.548Z] GC before operation: completed in 60.809 ms, heap usage 335.312 MB -> 90.111 MB. [2025-07-01T01:44:26.811Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T01:44:28.042Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T01:44:29.283Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T01:44:30.511Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T01:44:31.279Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T01:44:31.630Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T01:44:32.876Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T01:44:33.257Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T01:44:33.609Z] 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. [2025-07-01T01:44:33.609Z] The best model improves the baseline by 14.52%. [2025-07-01T01:44:33.609Z] Top recommended movies for user id 72: [2025-07-01T01:44:33.609Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-01T01:44:33.609Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-01T01:44:33.609Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-01T01:44:33.609Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-01T01:44:33.609Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-01T01:44:33.609Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (7863.012 ms) ====== [2025-07-01T01:44:33.609Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-07-01T01:44:33.609Z] GC before operation: completed in 55.066 ms, heap usage 267.631 MB -> 90.145 MB. [2025-07-01T01:44:34.839Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T01:44:36.063Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T01:44:37.295Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T01:44:38.513Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T01:44:38.873Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T01:44:39.635Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T01:44:40.404Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T01:44:41.179Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T01:44:41.179Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-01T01:44:41.179Z] The best model improves the baseline by 14.52%. [2025-07-01T01:44:41.179Z] Top recommended movies for user id 72: [2025-07-01T01:44:41.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-01T01:44:41.179Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-01T01:44:41.179Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-01T01:44:41.179Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-01T01:44:41.179Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-01T01:44:41.179Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (7682.153 ms) ====== [2025-07-01T01:44:41.179Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-07-01T01:44:41.179Z] GC before operation: completed in 67.551 ms, heap usage 618.015 MB -> 95.754 MB. [2025-07-01T01:44:42.414Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T01:44:43.651Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T01:44:44.882Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T01:44:46.169Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T01:44:46.937Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T01:44:47.717Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T01:44:48.483Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T01:44:48.879Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T01:44:49.247Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-01T01:44:49.247Z] The best model improves the baseline by 14.52%. [2025-07-01T01:44:49.247Z] Top recommended movies for user id 72: [2025-07-01T01:44:49.247Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-01T01:44:49.247Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-01T01:44:49.248Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-01T01:44:49.248Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-01T01:44:49.248Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-01T01:44:49.248Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (7899.828 ms) ====== [2025-07-01T01:44:49.248Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-07-01T01:44:49.248Z] GC before operation: completed in 53.891 ms, heap usage 180.170 MB -> 89.880 MB. [2025-07-01T01:44:50.511Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T01:44:52.293Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T01:44:53.063Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T01:44:54.301Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T01:44:55.061Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T01:44:55.834Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T01:44:56.594Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T01:44:57.351Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T01:44:57.351Z] 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. [2025-07-01T01:44:57.351Z] The best model improves the baseline by 14.52%. [2025-07-01T01:44:57.712Z] Top recommended movies for user id 72: [2025-07-01T01:44:57.712Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-01T01:44:57.712Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-01T01:44:57.712Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-01T01:44:57.712Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-01T01:44:57.712Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-01T01:44:57.712Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (8283.436 ms) ====== [2025-07-01T01:44:57.712Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-07-01T01:44:57.712Z] GC before operation: completed in 52.773 ms, heap usage 190.612 MB -> 90.084 MB. [2025-07-01T01:44:58.953Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T01:44:59.724Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T01:45:00.982Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T01:45:01.762Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T01:45:02.538Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T01:45:03.323Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T01:45:04.113Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T01:45:04.499Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T01:45:04.499Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-01T01:45:04.499Z] The best model improves the baseline by 14.52%. [2025-07-01T01:45:04.875Z] Top recommended movies for user id 72: [2025-07-01T01:45:04.875Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-01T01:45:04.875Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-01T01:45:04.875Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-01T01:45:04.875Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-01T01:45:04.875Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-01T01:45:04.875Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (7075.125 ms) ====== [2025-07-01T01:45:04.875Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-07-01T01:45:04.875Z] GC before operation: completed in 60.921 ms, heap usage 263.890 MB -> 90.199 MB. [2025-07-01T01:45:06.170Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T01:45:06.950Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T01:45:08.181Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T01:45:09.418Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T01:45:09.776Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T01:45:10.543Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T01:45:11.336Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T01:45:11.693Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T01:45:11.693Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-01T01:45:12.044Z] The best model improves the baseline by 14.52%. [2025-07-01T01:45:12.044Z] Top recommended movies for user id 72: [2025-07-01T01:45:12.044Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-01T01:45:12.044Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-01T01:45:12.044Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-01T01:45:12.044Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-01T01:45:12.044Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-01T01:45:12.044Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (7167.819 ms) ====== [2025-07-01T01:45:12.044Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-07-01T01:45:12.044Z] GC before operation: completed in 69.929 ms, heap usage 610.944 MB -> 93.963 MB. [2025-07-01T01:45:13.295Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T01:45:14.054Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T01:45:15.292Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T01:45:16.539Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T01:45:17.325Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T01:45:17.690Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T01:45:18.448Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T01:45:19.225Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T01:45:19.225Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-01T01:45:19.225Z] The best model improves the baseline by 14.52%. [2025-07-01T01:45:19.225Z] Top recommended movies for user id 72: [2025-07-01T01:45:19.225Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-01T01:45:19.225Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-01T01:45:19.225Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-01T01:45:19.225Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-01T01:45:19.225Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-01T01:45:19.225Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (7287.812 ms) ====== [2025-07-01T01:45:19.225Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-07-01T01:45:19.225Z] GC before operation: completed in 60.031 ms, heap usage 260.880 MB -> 89.975 MB. [2025-07-01T01:45:20.999Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T01:45:21.773Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T01:45:23.002Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T01:45:24.232Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T01:45:24.584Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T01:45:25.346Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T01:45:26.120Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T01:45:26.892Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T01:45:26.892Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-01T01:45:26.892Z] The best model improves the baseline by 14.52%. [2025-07-01T01:45:26.892Z] Top recommended movies for user id 72: [2025-07-01T01:45:26.892Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-01T01:45:26.892Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-01T01:45:26.892Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-01T01:45:26.892Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-01T01:45:26.892Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-01T01:45:26.892Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (7504.245 ms) ====== [2025-07-01T01:45:26.892Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-07-01T01:45:26.892Z] GC before operation: completed in 65.824 ms, heap usage 209.062 MB -> 90.077 MB. [2025-07-01T01:45:28.134Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T01:45:28.912Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T01:45:30.179Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T01:45:31.429Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T01:45:31.782Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T01:45:32.536Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T01:45:33.307Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T01:45:34.069Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T01:45:34.069Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-01T01:45:34.069Z] The best model improves the baseline by 14.52%. [2025-07-01T01:45:34.069Z] Top recommended movies for user id 72: [2025-07-01T01:45:34.069Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-01T01:45:34.069Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-01T01:45:34.069Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-01T01:45:34.069Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-01T01:45:34.069Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-01T01:45:34.069Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (7118.186 ms) ====== [2025-07-01T01:45:34.069Z] ----------------------------------- [2025-07-01T01:45:34.069Z] renaissance-movie-lens_0_PASSED [2025-07-01T01:45:34.069Z] ----------------------------------- [2025-07-01T01:45:34.422Z] [2025-07-01T01:45:34.422Z] TEST TEARDOWN: [2025-07-01T01:45:34.422Z] Nothing to be done for teardown. [2025-07-01T01:45:34.422Z] renaissance-movie-lens_0 Finish Time: Mon Jun 30 21:45:34 2025 Epoch Time (ms): 1751334334035