[2025-11-26T22:10:35.523Z] Running test renaissance-movie-lens_0 ... [2025-11-26T22:10:35.523Z] =============================================== [2025-11-26T22:10:35.523Z] renaissance-movie-lens_0 Start Time: Wed Nov 26 17:10:35 2025 Epoch Time (ms): 1764195035271 [2025-11-26T22:10:35.523Z] variation: NoOptions [2025-11-26T22:10:35.523Z] JVM_OPTIONS: [2025-11-26T22:10:35.523Z] { \ [2025-11-26T22:10:35.523Z] echo ""; echo "TEST SETUP:"; \ [2025-11-26T22:10:35.523Z] echo "Nothing to be done for setup."; \ [2025-11-26T22:10:35.523Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17641944243203/renaissance-movie-lens_0"; \ [2025-11-26T22:10:35.523Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17641944243203/renaissance-movie-lens_0"; \ [2025-11-26T22:10:35.523Z] echo ""; echo "TESTING:"; \ [2025-11-26T22:10:35.524Z] "/Users/admin/workspace/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17641944243203/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-26T22:10:35.524Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17641944243203/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-26T22:10:35.524Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-26T22:10:35.524Z] echo "Nothing to be done for teardown."; \ [2025-11-26T22:10:35.524Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17641944243203/TestTargetResult"; [2025-11-26T22:10:35.524Z] [2025-11-26T22:10:35.524Z] TEST SETUP: [2025-11-26T22:10:35.524Z] Nothing to be done for setup. [2025-11-26T22:10:35.524Z] [2025-11-26T22:10:35.524Z] TESTING: [2025-11-26T22:10:39.707Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-11-26T22:10:43.229Z] 17:10:43.118 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-11-26T22:10:44.600Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-26T22:10:44.979Z] Training: 60056, validation: 20285, test: 19854 [2025-11-26T22:10:44.979Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-26T22:10:44.979Z] GC before operation: completed in 61.256 ms, heap usage 189.267 MB -> 75.779 MB. [2025-11-26T22:10:49.179Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:10:51.127Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:10:53.029Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:10:54.930Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:10:55.800Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:10:57.153Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:10:57.963Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:10:59.288Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:10:59.288Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-26T22:10:59.288Z] The best model improves the baseline by 14.52%. [2025-11-26T22:10:59.664Z] Top recommended movies for user id 72: [2025-11-26T22:10:59.664Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-26T22:10:59.664Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-26T22:10:59.664Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-26T22:10:59.664Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-26T22:10:59.664Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-26T22:10:59.664Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (14591.066 ms) ====== [2025-11-26T22:10:59.664Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-26T22:10:59.664Z] GC before operation: completed in 75.389 ms, heap usage 503.641 MB -> 90.997 MB. [2025-11-26T22:11:01.621Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:11:03.586Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:11:04.918Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:11:06.610Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:11:06.999Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:11:08.334Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:11:09.104Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:11:09.921Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:11:09.921Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-26T22:11:09.921Z] The best model improves the baseline by 14.52%. [2025-11-26T22:11:10.310Z] Top recommended movies for user id 72: [2025-11-26T22:11:10.310Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-26T22:11:10.310Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-26T22:11:10.310Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-26T22:11:10.310Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-26T22:11:10.310Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-26T22:11:10.310Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (10525.385 ms) ====== [2025-11-26T22:11:10.310Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-26T22:11:10.310Z] GC before operation: completed in 58.811 ms, heap usage 131.650 MB -> 90.131 MB. [2025-11-26T22:11:11.625Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:11:13.514Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:11:14.308Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:11:15.658Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:11:16.457Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:11:16.847Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:11:17.660Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:11:18.457Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:11:18.457Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-26T22:11:18.457Z] The best model improves the baseline by 14.52%. [2025-11-26T22:11:18.457Z] Top recommended movies for user id 72: [2025-11-26T22:11:18.457Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-26T22:11:18.457Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-26T22:11:18.457Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-26T22:11:18.457Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-26T22:11:18.457Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-26T22:11:18.457Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (8305.018 ms) ====== [2025-11-26T22:11:18.457Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-26T22:11:18.457Z] GC before operation: completed in 42.470 ms, heap usage 193.833 MB -> 89.380 MB. [2025-11-26T22:11:19.762Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:11:21.107Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:11:22.370Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:11:23.175Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:11:23.955Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:11:24.738Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:11:25.562Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:11:25.955Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:11:26.373Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-26T22:11:26.373Z] The best model improves the baseline by 14.52%. [2025-11-26T22:11:26.373Z] Top recommended movies for user id 72: [2025-11-26T22:11:26.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-26T22:11:26.373Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-26T22:11:26.373Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-26T22:11:26.373Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-26T22:11:26.373Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-26T22:11:26.373Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (7749.201 ms) ====== [2025-11-26T22:11:26.373Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-26T22:11:26.373Z] GC before operation: completed in 47.502 ms, heap usage 474.048 MB -> 90.010 MB. [2025-11-26T22:11:27.694Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:11:29.003Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:11:29.947Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:11:31.287Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:11:32.110Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:11:32.966Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:11:33.764Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:11:34.370Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:11:34.370Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-26T22:11:34.370Z] The best model improves the baseline by 14.52%. [2025-11-26T22:11:34.370Z] Top recommended movies for user id 72: [2025-11-26T22:11:34.370Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-26T22:11:34.370Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-26T22:11:34.370Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-26T22:11:34.370Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-26T22:11:34.370Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-26T22:11:34.370Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (8160.373 ms) ====== [2025-11-26T22:11:34.370Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-26T22:11:34.750Z] GC before operation: completed in 54.757 ms, heap usage 187.733 MB -> 89.522 MB. [2025-11-26T22:11:36.087Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:11:37.405Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:11:38.700Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:11:40.031Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:11:40.907Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:11:41.325Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:11:42.199Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:11:42.714Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:11:42.714Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-26T22:11:42.714Z] The best model improves the baseline by 14.52%. [2025-11-26T22:11:42.714Z] Top recommended movies for user id 72: [2025-11-26T22:11:42.714Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-26T22:11:42.714Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-26T22:11:42.714Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-26T22:11:42.714Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-26T22:11:42.714Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-26T22:11:42.714Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (8219.402 ms) ====== [2025-11-26T22:11:42.714Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-26T22:11:42.714Z] GC before operation: completed in 55.715 ms, heap usage 713.036 MB -> 93.910 MB. [2025-11-26T22:11:44.088Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:11:44.943Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:11:46.266Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:11:47.720Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:11:48.136Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:11:48.632Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:11:49.535Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:11:49.952Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:11:50.321Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-26T22:11:50.322Z] The best model improves the baseline by 14.52%. [2025-11-26T22:11:50.322Z] Top recommended movies for user id 72: [2025-11-26T22:11:50.322Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-26T22:11:50.322Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-26T22:11:50.322Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-26T22:11:50.322Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-26T22:11:50.322Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-26T22:11:50.322Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (7394.140 ms) ====== [2025-11-26T22:11:50.322Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-26T22:11:50.322Z] GC before operation: completed in 43.363 ms, heap usage 365.788 MB -> 92.730 MB. [2025-11-26T22:11:51.623Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:11:52.943Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:11:54.062Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:11:54.900Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:11:55.708Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:11:56.122Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:11:56.918Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:11:57.785Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:11:57.785Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-26T22:11:57.785Z] The best model improves the baseline by 14.52%. [2025-11-26T22:11:57.785Z] Top recommended movies for user id 72: [2025-11-26T22:11:57.785Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-26T22:11:57.785Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-26T22:11:57.785Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-26T22:11:57.785Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-26T22:11:57.785Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-26T22:11:57.785Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (7397.388 ms) ====== [2025-11-26T22:11:57.785Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-26T22:11:57.785Z] GC before operation: completed in 44.634 ms, heap usage 208.018 MB -> 93.498 MB. [2025-11-26T22:11:58.625Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:11:59.942Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:12:01.208Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:12:02.049Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:12:02.854Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:12:03.219Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:12:04.046Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:12:04.419Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:12:04.787Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-26T22:12:04.787Z] The best model improves the baseline by 14.52%. [2025-11-26T22:12:04.787Z] Top recommended movies for user id 72: [2025-11-26T22:12:04.787Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-26T22:12:04.787Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-26T22:12:04.787Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-26T22:12:04.787Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-26T22:12:04.787Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-26T22:12:04.787Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (6930.206 ms) ====== [2025-11-26T22:12:04.787Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-26T22:12:04.787Z] GC before operation: completed in 42.196 ms, heap usage 150.148 MB -> 94.419 MB. [2025-11-26T22:12:06.090Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:12:07.417Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:12:08.258Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:12:09.578Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:12:10.370Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:12:11.149Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:12:11.946Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:12:12.330Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:12:12.687Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-26T22:12:12.687Z] The best model improves the baseline by 14.52%. [2025-11-26T22:12:12.687Z] Top recommended movies for user id 72: [2025-11-26T22:12:12.687Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-26T22:12:12.687Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-26T22:12:12.687Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-26T22:12:12.687Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-26T22:12:12.687Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-26T22:12:12.687Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (7880.329 ms) ====== [2025-11-26T22:12:12.687Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-26T22:12:12.687Z] GC before operation: completed in 45.965 ms, heap usage 435.404 MB -> 92.863 MB. [2025-11-26T22:12:13.974Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:12:15.232Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:12:16.838Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:12:17.700Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:12:18.075Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:12:18.883Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:12:19.763Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:12:20.166Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:12:20.169Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-26T22:12:20.169Z] The best model improves the baseline by 14.52%. [2025-11-26T22:12:20.563Z] Top recommended movies for user id 72: [2025-11-26T22:12:20.563Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-26T22:12:20.563Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-26T22:12:20.563Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-26T22:12:20.563Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-26T22:12:20.563Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-26T22:12:20.563Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (7703.392 ms) ====== [2025-11-26T22:12:20.563Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-26T22:12:20.563Z] GC before operation: completed in 46.910 ms, heap usage 432.357 MB -> 90.332 MB. [2025-11-26T22:12:21.456Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:12:22.782Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:12:23.605Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:12:24.868Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:12:25.679Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:12:26.048Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:12:26.832Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:12:27.625Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:12:27.625Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-26T22:12:27.625Z] The best model improves the baseline by 14.52%. [2025-11-26T22:12:28.000Z] Top recommended movies for user id 72: [2025-11-26T22:12:28.000Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-26T22:12:28.000Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-26T22:12:28.000Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-26T22:12:28.000Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-26T22:12:28.000Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-26T22:12:28.000Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (7446.957 ms) ====== [2025-11-26T22:12:28.000Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-26T22:12:28.000Z] GC before operation: completed in 53.676 ms, heap usage 283.879 MB -> 90.343 MB. [2025-11-26T22:12:29.265Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:12:30.034Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:12:31.334Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:12:32.153Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:12:32.957Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:12:33.337Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:12:34.138Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:12:34.548Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:12:34.928Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-26T22:12:34.928Z] The best model improves the baseline by 14.52%. [2025-11-26T22:12:34.928Z] Top recommended movies for user id 72: [2025-11-26T22:12:34.928Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-26T22:12:34.928Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-26T22:12:34.928Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-26T22:12:34.928Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-26T22:12:34.928Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-26T22:12:34.928Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (6924.036 ms) ====== [2025-11-26T22:12:34.928Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-26T22:12:34.928Z] GC before operation: completed in 43.473 ms, heap usage 508.128 MB -> 93.907 MB. [2025-11-26T22:12:35.712Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:12:36.992Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:12:37.765Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:12:38.565Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:12:39.426Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:12:39.814Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:12:40.613Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:12:40.997Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:12:41.378Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-26T22:12:41.378Z] The best model improves the baseline by 14.52%. [2025-11-26T22:12:41.378Z] Top recommended movies for user id 72: [2025-11-26T22:12:41.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-26T22:12:41.378Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-26T22:12:41.378Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-26T22:12:41.378Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-26T22:12:41.378Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-26T22:12:41.378Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (6397.352 ms) ====== [2025-11-26T22:12:41.378Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-26T22:12:41.378Z] GC before operation: completed in 41.142 ms, heap usage 478.734 MB -> 93.863 MB. [2025-11-26T22:12:42.145Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:12:43.384Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:12:44.164Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:12:44.952Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:12:45.788Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:12:46.156Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:12:46.976Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:12:47.749Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:12:47.749Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-26T22:12:47.749Z] The best model improves the baseline by 14.52%. [2025-11-26T22:12:47.749Z] Top recommended movies for user id 72: [2025-11-26T22:12:47.749Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-26T22:12:47.749Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-26T22:12:47.749Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-26T22:12:47.749Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-26T22:12:47.749Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-26T22:12:47.749Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (6418.293 ms) ====== [2025-11-26T22:12:47.749Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-26T22:12:47.749Z] GC before operation: completed in 40.293 ms, heap usage 359.621 MB -> 90.749 MB. [2025-11-26T22:12:49.029Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:12:49.842Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:12:50.659Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:12:51.450Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:12:52.263Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:12:52.622Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:12:53.445Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:12:53.822Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:12:53.824Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-26T22:12:53.824Z] The best model improves the baseline by 14.52%. [2025-11-26T22:12:53.824Z] Top recommended movies for user id 72: [2025-11-26T22:12:53.824Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-26T22:12:53.824Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-26T22:12:53.824Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-26T22:12:53.824Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-26T22:12:53.824Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-26T22:12:53.824Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (6196.354 ms) ====== [2025-11-26T22:12:53.824Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-26T22:12:54.196Z] GC before operation: completed in 46.598 ms, heap usage 356.281 MB -> 90.547 MB. [2025-11-26T22:12:54.973Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:12:56.215Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:12:56.996Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:12:58.246Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:12:58.610Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:12:59.373Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:13:07.369Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:13:07.369Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:13:07.369Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-26T22:13:07.369Z] The best model improves the baseline by 14.52%. [2025-11-26T22:13:07.369Z] Top recommended movies for user id 72: [2025-11-26T22:13:07.369Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-26T22:13:07.369Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-26T22:13:07.369Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-26T22:13:07.369Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-26T22:13:07.369Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-26T22:13:07.369Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (6678.717 ms) ====== [2025-11-26T22:13:07.369Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-26T22:13:07.369Z] GC before operation: completed in 41.181 ms, heap usage 481.013 MB -> 92.921 MB. [2025-11-26T22:13:07.369Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:13:07.369Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:13:07.369Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:13:07.369Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:13:07.369Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:13:07.369Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:13:07.369Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:13:07.369Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:13:07.369Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-26T22:13:07.369Z] The best model improves the baseline by 14.52%. [2025-11-26T22:13:07.369Z] Top recommended movies for user id 72: [2025-11-26T22:13:07.369Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-26T22:13:07.369Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-26T22:13:07.369Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-26T22:13:07.369Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-26T22:13:07.369Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-26T22:13:07.369Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (6331.930 ms) ====== [2025-11-26T22:13:07.369Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-26T22:13:07.369Z] GC before operation: completed in 40.712 ms, heap usage 507.892 MB -> 93.053 MB. [2025-11-26T22:13:08.352Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:13:09.219Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:13:10.600Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:13:11.403Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:13:11.794Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:13:12.592Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:13:12.954Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:13:13.777Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:13:13.777Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-26T22:13:13.777Z] The best model improves the baseline by 14.52%. [2025-11-26T22:13:13.777Z] Top recommended movies for user id 72: [2025-11-26T22:13:13.777Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-26T22:13:13.777Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-26T22:13:13.777Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-26T22:13:13.777Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-26T22:13:13.778Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-26T22:13:13.778Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (6783.185 ms) ====== [2025-11-26T22:13:13.778Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-26T22:13:13.778Z] GC before operation: completed in 42.879 ms, heap usage 477.073 MB -> 90.724 MB. [2025-11-26T22:13:15.036Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:13:15.856Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:13:17.221Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:13:18.012Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:13:18.825Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:13:19.195Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:13:20.018Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:13:20.401Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:13:20.401Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-26T22:13:20.401Z] The best model improves the baseline by 14.52%. [2025-11-26T22:13:20.401Z] Top recommended movies for user id 72: [2025-11-26T22:13:20.401Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-26T22:13:20.401Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-26T22:13:20.401Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-26T22:13:20.401Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-26T22:13:20.401Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-26T22:13:20.401Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (6633.986 ms) ====== [2025-11-26T22:13:20.774Z] ----------------------------------- [2025-11-26T22:13:20.774Z] renaissance-movie-lens_0_PASSED [2025-11-26T22:13:20.774Z] ----------------------------------- [2025-11-26T22:13:20.774Z] [2025-11-26T22:13:20.774Z] TEST TEARDOWN: [2025-11-26T22:13:20.774Z] Nothing to be done for teardown. [2025-11-26T22:13:20.774Z] renaissance-movie-lens_0 Finish Time: Wed Nov 26 17:13:20 2025 Epoch Time (ms): 1764195200590