[2025-06-26T21:39:17.446Z] Running test renaissance-movie-lens_0 ... [2025-06-26T21:39:17.446Z] =============================================== [2025-06-26T21:39:17.446Z] renaissance-movie-lens_0 Start Time: Thu Jun 26 17:39:17 2025 Epoch Time (ms): 1750973957029 [2025-06-26T21:39:17.446Z] variation: NoOptions [2025-06-26T21:39:17.446Z] JVM_OPTIONS: [2025-06-26T21:39:17.446Z] { \ [2025-06-26T21:39:17.446Z] echo ""; echo "TEST SETUP:"; \ [2025-06-26T21:39:17.446Z] echo "Nothing to be done for setup."; \ [2025-06-26T21:39:17.446Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17509731303259/renaissance-movie-lens_0"; \ [2025-06-26T21:39:17.446Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17509731303259/renaissance-movie-lens_0"; \ [2025-06-26T21:39:17.446Z] echo ""; echo "TESTING:"; \ [2025-06-26T21:39:17.446Z] "/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_17509731303259/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-26T21:39:17.446Z] 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_17509731303259/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-26T21:39:17.446Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-26T21:39:17.446Z] echo "Nothing to be done for teardown."; \ [2025-06-26T21:39:17.446Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17509731303259/TestTargetResult"; [2025-06-26T21:39:17.446Z] [2025-06-26T21:39:17.446Z] TEST SETUP: [2025-06-26T21:39:17.446Z] Nothing to be done for setup. [2025-06-26T21:39:17.446Z] [2025-06-26T21:39:17.446Z] TESTING: [2025-06-26T21:39:20.589Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-06-26T21:39:24.637Z] 17:39:23.733 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-06-26T21:39:24.992Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-26T21:39:25.349Z] Training: 60056, validation: 20285, test: 19854 [2025-06-26T21:39:25.349Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-26T21:39:25.349Z] GC before operation: completed in 86.052 ms, heap usage 424.436 MB -> 76.005 MB. [2025-06-26T21:39:28.525Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T21:39:30.953Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T21:39:33.413Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T21:39:35.190Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T21:39:35.963Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T21:39:37.193Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T21:39:38.421Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T21:39:39.672Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T21:39:39.672Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-26T21:39:39.672Z] The best model improves the baseline by 14.52%. [2025-06-26T21:39:39.672Z] Top recommended movies for user id 72: [2025-06-26T21:39:39.672Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-26T21:39:39.672Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-26T21:39:39.672Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-26T21:39:39.672Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-26T21:39:39.672Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-26T21:39:39.672Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (14356.630 ms) ====== [2025-06-26T21:39:39.672Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-26T21:39:39.672Z] GC before operation: completed in 80.491 ms, heap usage 372.430 MB -> 87.793 MB. [2025-06-26T21:39:41.455Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T21:39:42.701Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T21:39:44.496Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T21:39:46.299Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T21:39:47.080Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T21:39:47.837Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T21:39:49.063Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T21:39:49.846Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T21:39:49.846Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-26T21:39:49.846Z] The best model improves the baseline by 14.52%. [2025-06-26T21:39:50.213Z] Top recommended movies for user id 72: [2025-06-26T21:39:50.213Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-26T21:39:50.213Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-26T21:39:50.213Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-26T21:39:50.213Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-26T21:39:50.213Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-26T21:39:50.213Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (10279.822 ms) ====== [2025-06-26T21:39:50.213Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-26T21:39:50.213Z] GC before operation: completed in 77.093 ms, heap usage 241.775 MB -> 88.498 MB. [2025-06-26T21:39:51.999Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T21:39:53.239Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T21:39:55.065Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T21:39:56.297Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T21:39:57.174Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T21:39:58.418Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T21:39:59.186Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T21:40:00.059Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T21:40:00.059Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-26T21:40:00.059Z] The best model improves the baseline by 14.52%. [2025-06-26T21:40:00.439Z] Top recommended movies for user id 72: [2025-06-26T21:40:00.439Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-26T21:40:00.439Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-26T21:40:00.439Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-26T21:40:00.439Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-26T21:40:00.439Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-26T21:40:00.439Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (10174.793 ms) ====== [2025-06-26T21:40:00.439Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-26T21:40:00.439Z] GC before operation: completed in 92.589 ms, heap usage 108.936 MB -> 89.016 MB. [2025-06-26T21:40:02.332Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T21:40:03.134Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T21:40:04.958Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T21:40:06.739Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T21:40:07.520Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T21:40:08.283Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T21:40:09.064Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T21:40:10.360Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T21:40:10.360Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-26T21:40:10.360Z] The best model improves the baseline by 14.52%. [2025-06-26T21:40:10.360Z] Top recommended movies for user id 72: [2025-06-26T21:40:10.360Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-26T21:40:10.360Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-26T21:40:10.360Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-26T21:40:10.360Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-26T21:40:10.360Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-26T21:40:10.360Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (9931.142 ms) ====== [2025-06-26T21:40:10.360Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-26T21:40:10.360Z] GC before operation: completed in 71.752 ms, heap usage 493.969 MB -> 93.084 MB. [2025-06-26T21:40:12.138Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T21:40:13.390Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T21:40:14.629Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T21:40:16.401Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T21:40:17.167Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T21:40:17.971Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T21:40:19.221Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T21:40:19.999Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T21:40:20.362Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-26T21:40:20.362Z] The best model improves the baseline by 14.52%. [2025-06-26T21:40:20.362Z] Top recommended movies for user id 72: [2025-06-26T21:40:20.362Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-26T21:40:20.362Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-26T21:40:20.362Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-26T21:40:20.362Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-26T21:40:20.362Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-26T21:40:20.362Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (9983.435 ms) ====== [2025-06-26T21:40:20.362Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-26T21:40:20.362Z] GC before operation: completed in 69.426 ms, heap usage 113.220 MB -> 89.133 MB. [2025-06-26T21:40:22.199Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T21:40:23.479Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T21:40:25.273Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T21:40:26.542Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T21:40:27.802Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T21:40:28.586Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T21:40:29.409Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T21:40:30.644Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T21:40:30.644Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-26T21:40:30.644Z] The best model improves the baseline by 14.52%. [2025-06-26T21:40:31.057Z] Top recommended movies for user id 72: [2025-06-26T21:40:31.057Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-26T21:40:31.057Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-26T21:40:31.057Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-26T21:40:31.057Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-26T21:40:31.057Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-26T21:40:31.057Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (10336.893 ms) ====== [2025-06-26T21:40:31.057Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-26T21:40:31.057Z] GC before operation: completed in 71.329 ms, heap usage 362.332 MB -> 89.999 MB. [2025-06-26T21:40:32.320Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T21:40:34.112Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T21:40:35.897Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T21:40:37.703Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T21:40:38.496Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T21:40:39.751Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T21:40:40.526Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T21:40:41.541Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T21:40:41.541Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-26T21:40:41.541Z] The best model improves the baseline by 14.52%. [2025-06-26T21:40:41.901Z] Top recommended movies for user id 72: [2025-06-26T21:40:41.901Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-26T21:40:41.901Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-26T21:40:41.901Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-26T21:40:41.901Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-26T21:40:41.901Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-26T21:40:41.901Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (10769.612 ms) ====== [2025-06-26T21:40:41.901Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-26T21:40:41.901Z] GC before operation: completed in 65.929 ms, heap usage 233.802 MB -> 89.748 MB. [2025-06-26T21:40:43.151Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T21:40:44.980Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T21:40:46.247Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T21:40:47.522Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T21:40:48.776Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T21:40:49.550Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T21:40:50.332Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T21:40:51.114Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T21:40:51.488Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-26T21:40:51.488Z] The best model improves the baseline by 14.52%. [2025-06-26T21:40:51.488Z] Top recommended movies for user id 72: [2025-06-26T21:40:51.488Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-26T21:40:51.488Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-26T21:40:51.488Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-26T21:40:51.488Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-26T21:40:51.488Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-26T21:40:51.488Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (9744.058 ms) ====== [2025-06-26T21:40:51.488Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-26T21:40:51.488Z] GC before operation: completed in 69.957 ms, heap usage 186.932 MB -> 89.834 MB. [2025-06-26T21:40:53.285Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T21:40:54.526Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T21:40:55.784Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T21:40:57.080Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T21:40:58.319Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T21:40:59.110Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T21:41:00.370Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T21:41:01.171Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T21:41:01.171Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-26T21:41:01.171Z] The best model improves the baseline by 14.52%. [2025-06-26T21:41:01.171Z] Top recommended movies for user id 72: [2025-06-26T21:41:01.171Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-26T21:41:01.171Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-26T21:41:01.171Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-26T21:41:01.171Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-26T21:41:01.171Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-26T21:41:01.171Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (9681.689 ms) ====== [2025-06-26T21:41:01.171Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-26T21:41:01.171Z] GC before operation: completed in 67.818 ms, heap usage 262.286 MB -> 89.980 MB. [2025-06-26T21:41:03.012Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T21:41:04.282Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T21:41:05.544Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T21:41:06.813Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T21:41:08.089Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T21:41:08.480Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T21:41:09.749Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T21:41:10.521Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T21:41:10.874Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-26T21:41:10.874Z] The best model improves the baseline by 14.52%. [2025-06-26T21:41:10.874Z] Top recommended movies for user id 72: [2025-06-26T21:41:10.874Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-26T21:41:10.874Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-26T21:41:10.874Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-26T21:41:10.874Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-26T21:41:10.874Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-26T21:41:10.874Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (9549.788 ms) ====== [2025-06-26T21:41:10.874Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-26T21:41:10.874Z] GC before operation: completed in 61.107 ms, heap usage 274.395 MB -> 90.071 MB. [2025-06-26T21:41:12.128Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T21:41:13.917Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T21:41:15.192Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T21:41:16.452Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T21:41:17.710Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T21:41:18.526Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T21:41:19.310Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T21:41:20.096Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T21:41:20.096Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-26T21:41:20.096Z] The best model improves the baseline by 14.52%. [2025-06-26T21:41:20.464Z] Top recommended movies for user id 72: [2025-06-26T21:41:20.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-26T21:41:20.464Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-26T21:41:20.464Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-26T21:41:20.464Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-26T21:41:20.464Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-26T21:41:20.464Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (9358.034 ms) ====== [2025-06-26T21:41:20.464Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-26T21:41:20.464Z] GC before operation: completed in 66.897 ms, heap usage 99.553 MB -> 89.814 MB. [2025-06-26T21:41:22.262Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T21:41:23.539Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T21:41:25.413Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T21:41:26.757Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T21:41:27.536Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T21:41:28.310Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T21:41:29.115Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T21:41:29.896Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T21:41:30.279Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-26T21:41:30.279Z] The best model improves the baseline by 14.52%. [2025-06-26T21:41:30.279Z] Top recommended movies for user id 72: [2025-06-26T21:41:30.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-26T21:41:30.279Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-26T21:41:30.279Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-26T21:41:30.280Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-26T21:41:30.280Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-26T21:41:30.280Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (9986.464 ms) ====== [2025-06-26T21:41:30.280Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-26T21:41:30.280Z] GC before operation: completed in 69.311 ms, heap usage 118.854 MB -> 89.725 MB. [2025-06-26T21:41:32.075Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T21:41:33.360Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T21:41:34.610Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T21:41:35.875Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T21:41:36.679Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T21:41:37.460Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T21:41:38.260Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T21:41:39.039Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T21:41:39.039Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-26T21:41:39.039Z] The best model improves the baseline by 14.52%. [2025-06-26T21:41:39.403Z] Top recommended movies for user id 72: [2025-06-26T21:41:39.403Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-26T21:41:39.403Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-26T21:41:39.403Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-26T21:41:39.403Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-26T21:41:39.403Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-26T21:41:39.403Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (8822.954 ms) ====== [2025-06-26T21:41:39.403Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-26T21:41:39.403Z] GC before operation: completed in 86.345 ms, heap usage 275.436 MB -> 90.129 MB. [2025-06-26T21:41:40.641Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T21:41:41.890Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T21:41:43.666Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T21:41:44.916Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T21:41:45.297Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T21:41:46.075Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T21:41:47.355Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T21:41:47.746Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T21:41:48.133Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-26T21:41:48.133Z] The best model improves the baseline by 14.52%. [2025-06-26T21:41:48.133Z] Top recommended movies for user id 72: [2025-06-26T21:41:48.133Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-26T21:41:48.133Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-26T21:41:48.133Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-26T21:41:48.133Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-26T21:41:48.133Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-26T21:41:48.133Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (8755.736 ms) ====== [2025-06-26T21:41:48.133Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-26T21:41:48.133Z] GC before operation: completed in 69.998 ms, heap usage 347.027 MB -> 90.046 MB. [2025-06-26T21:41:49.398Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T21:41:50.669Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T21:41:52.513Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T21:41:53.754Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T21:41:54.529Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T21:41:55.291Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T21:41:56.538Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T21:41:57.324Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T21:41:57.324Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-26T21:41:57.324Z] The best model improves the baseline by 14.52%. [2025-06-26T21:41:57.324Z] Top recommended movies for user id 72: [2025-06-26T21:41:57.324Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-26T21:41:57.324Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-26T21:41:57.324Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-26T21:41:57.324Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-26T21:41:57.324Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-26T21:41:57.324Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (9253.747 ms) ====== [2025-06-26T21:41:57.324Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-26T21:41:57.324Z] GC before operation: completed in 71.083 ms, heap usage 204.883 MB -> 90.042 MB. [2025-06-26T21:41:59.104Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T21:42:00.353Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T21:42:01.641Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T21:42:02.921Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T21:42:04.263Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T21:42:05.052Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T21:42:05.862Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T21:42:06.662Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T21:42:07.022Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-26T21:42:07.022Z] The best model improves the baseline by 14.52%. [2025-06-26T21:42:07.022Z] Top recommended movies for user id 72: [2025-06-26T21:42:07.022Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-26T21:42:07.022Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-26T21:42:07.022Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-26T21:42:07.022Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-26T21:42:07.022Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-26T21:42:07.022Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (9622.543 ms) ====== [2025-06-26T21:42:07.022Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-26T21:42:07.022Z] GC before operation: completed in 65.223 ms, heap usage 119.139 MB -> 89.785 MB. [2025-06-26T21:42:08.789Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T21:42:10.129Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T21:42:11.356Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T21:42:12.598Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T21:42:13.861Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T21:42:14.642Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T21:42:15.437Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T21:42:16.206Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T21:42:16.206Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-26T21:42:16.206Z] The best model improves the baseline by 14.52%. [2025-06-26T21:42:16.206Z] Top recommended movies for user id 72: [2025-06-26T21:42:16.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-26T21:42:16.206Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-26T21:42:16.206Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-26T21:42:16.206Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-26T21:42:16.206Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-26T21:42:16.206Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (9175.768 ms) ====== [2025-06-26T21:42:16.206Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-26T21:42:16.568Z] GC before operation: completed in 65.701 ms, heap usage 392.396 MB -> 90.377 MB. [2025-06-26T21:42:17.801Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T21:42:19.612Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T21:42:20.872Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T21:42:22.680Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T21:42:23.045Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T21:42:24.285Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T21:42:25.057Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T21:42:25.850Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T21:42:26.212Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-26T21:42:26.212Z] The best model improves the baseline by 14.52%. [2025-06-26T21:42:26.212Z] Top recommended movies for user id 72: [2025-06-26T21:42:26.212Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-26T21:42:26.212Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-26T21:42:26.212Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-26T21:42:26.212Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-26T21:42:26.212Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-26T21:42:26.212Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (9792.460 ms) ====== [2025-06-26T21:42:26.212Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-26T21:42:26.212Z] GC before operation: completed in 72.501 ms, heap usage 219.693 MB -> 89.791 MB. [2025-06-26T21:42:27.990Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T21:42:29.219Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T21:42:30.501Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T21:42:32.278Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T21:42:33.049Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T21:42:33.831Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T21:42:35.083Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T21:42:35.499Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T21:42:35.857Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-26T21:42:35.857Z] The best model improves the baseline by 14.52%. [2025-06-26T21:42:35.857Z] Top recommended movies for user id 72: [2025-06-26T21:42:35.857Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-26T21:42:35.857Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-26T21:42:35.857Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-26T21:42:35.857Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-26T21:42:35.857Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-26T21:42:35.857Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (9655.323 ms) ====== [2025-06-26T21:42:35.857Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-26T21:42:35.857Z] GC before operation: completed in 67.800 ms, heap usage 227.446 MB -> 89.959 MB. [2025-06-26T21:42:37.645Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T21:42:38.892Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T21:42:40.664Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T21:42:41.920Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T21:42:42.730Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T21:42:43.503Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T21:42:44.745Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T21:42:45.534Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T21:42:45.534Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-26T21:42:45.534Z] The best model improves the baseline by 14.52%. [2025-06-26T21:42:45.534Z] Top recommended movies for user id 72: [2025-06-26T21:42:45.534Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-26T21:42:45.534Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-26T21:42:45.534Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-26T21:42:45.534Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-26T21:42:45.535Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-26T21:42:45.535Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (9705.236 ms) ====== [2025-06-26T21:42:45.897Z] ----------------------------------- [2025-06-26T21:42:45.897Z] renaissance-movie-lens_0_PASSED [2025-06-26T21:42:45.897Z] ----------------------------------- [2025-06-26T21:42:45.897Z] [2025-06-26T21:42:45.897Z] TEST TEARDOWN: [2025-06-26T21:42:45.897Z] Nothing to be done for teardown. [2025-06-26T21:42:45.897Z] renaissance-movie-lens_0 Finish Time: Thu Jun 26 17:42:45 2025 Epoch Time (ms): 1750974165756