[2026-04-01T21:14:10.503Z] Running test renaissance-movie-lens_0 ... [2026-04-01T21:14:10.503Z] =============================================== [2026-04-01T21:14:10.503Z] renaissance-movie-lens_0 Start Time: Wed Apr 1 17:14:10 2026 Epoch Time (ms): 1775078050447 [2026-04-01T21:14:10.503Z] variation: NoOptions [2026-04-01T21:14:10.870Z] JVM_OPTIONS: [2026-04-01T21:14:10.870Z] { \ [2026-04-01T21:14:10.870Z] echo ""; echo "TEST SETUP:"; \ [2026-04-01T21:14:10.870Z] echo "Nothing to be done for setup."; \ [2026-04-01T21:14:10.870Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1775077733882/renaissance-movie-lens_0"; \ [2026-04-01T21:14:10.870Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1775077733882/renaissance-movie-lens_0"; \ [2026-04-01T21:14:10.870Z] echo ""; echo "TESTING:"; \ [2026-04-01T21:14:10.870Z] "/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_1775077733882/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-01T21:14:10.870Z] 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_1775077733882/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-01T21:14:10.870Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-01T21:14:10.870Z] echo "Nothing to be done for teardown."; \ [2026-04-01T21:14:10.870Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1775077733882/TestTargetResult"; [2026-04-01T21:14:10.870Z] [2026-04-01T21:14:10.870Z] TEST SETUP: [2026-04-01T21:14:10.870Z] Nothing to be done for setup. [2026-04-01T21:14:10.870Z] [2026-04-01T21:14:10.870Z] TESTING: [2026-04-01T21:14:14.043Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-01T21:14:15.997Z] 17:14:15.713 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-01T21:14:16.818Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-01T21:14:16.818Z] Training: 60056, validation: 20285, test: 19854 [2026-04-01T21:14:16.818Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-01T21:14:17.263Z] GC before operation: completed in 45.838 ms, heap usage 251.878 MB -> 75.758 MB. [2026-04-01T21:14:19.823Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:14:21.313Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:14:22.571Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:14:24.437Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:14:25.194Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:14:26.025Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:14:26.827Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:14:27.614Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:14:27.614Z] 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. [2026-04-01T21:14:27.614Z] The best model improves the baseline by 14.52%. [2026-04-01T21:14:27.977Z] Top recommended movies for user id 72: [2026-04-01T21:14:27.977Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:14:27.977Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:14:27.977Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:14:27.977Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:14:27.977Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:14:27.977Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (10844.153 ms) ====== [2026-04-01T21:14:27.977Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-01T21:14:27.977Z] GC before operation: completed in 50.209 ms, heap usage 207.089 MB -> 90.295 MB. [2026-04-01T21:14:29.885Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:14:30.320Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:14:31.502Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:14:32.827Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:14:33.744Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:14:34.762Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:14:35.236Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:14:36.045Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:14:36.438Z] 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. [2026-04-01T21:14:36.438Z] The best model improves the baseline by 14.52%. [2026-04-01T21:14:36.438Z] Top recommended movies for user id 72: [2026-04-01T21:14:36.438Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:14:36.438Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:14:36.438Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:14:36.438Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:14:36.438Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:14:36.438Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (8385.398 ms) ====== [2026-04-01T21:14:36.438Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-01T21:14:36.438Z] GC before operation: completed in 43.613 ms, heap usage 290.618 MB -> 93.549 MB. [2026-04-01T21:14:37.722Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:14:39.044Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:14:40.604Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:14:42.168Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:14:42.542Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:14:43.340Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:14:44.163Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:14:45.042Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:14:45.042Z] 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. [2026-04-01T21:14:45.042Z] The best model improves the baseline by 14.52%. [2026-04-01T21:14:45.042Z] Top recommended movies for user id 72: [2026-04-01T21:14:45.042Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:14:45.042Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:14:45.042Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:14:45.042Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:14:45.042Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:14:45.042Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (8729.538 ms) ====== [2026-04-01T21:14:45.042Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-01T21:14:45.042Z] GC before operation: completed in 48.996 ms, heap usage 294.049 MB -> 95.298 MB. [2026-04-01T21:14:46.361Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:14:47.744Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:14:49.168Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:14:50.047Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:14:51.048Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:14:51.901Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:14:52.261Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:14:53.188Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:14:53.188Z] 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. [2026-04-01T21:14:53.188Z] The best model improves the baseline by 14.52%. [2026-04-01T21:14:53.188Z] Top recommended movies for user id 72: [2026-04-01T21:14:53.188Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:14:53.188Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:14:53.188Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:14:53.188Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:14:53.188Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:14:53.188Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (8177.843 ms) ====== [2026-04-01T21:14:53.188Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-01T21:14:53.553Z] GC before operation: completed in 42.016 ms, heap usage 219.633 MB -> 95.296 MB. [2026-04-01T21:14:54.372Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:14:55.880Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:14:57.196Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:14:58.610Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:14:58.978Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:14:59.793Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:15:00.623Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:15:01.914Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:15:01.914Z] 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. [2026-04-01T21:15:01.914Z] The best model improves the baseline by 14.52%. [2026-04-01T21:15:01.914Z] Top recommended movies for user id 72: [2026-04-01T21:15:01.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:15:01.914Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:15:01.914Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:15:01.914Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:15:01.914Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:15:01.914Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (8479.487 ms) ====== [2026-04-01T21:15:01.914Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-01T21:15:01.914Z] GC before operation: completed in 41.133 ms, heap usage 132.488 MB -> 92.908 MB. [2026-04-01T21:15:03.324Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:15:04.257Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:15:05.714Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:15:07.039Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:15:07.425Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:15:08.262Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:15:08.670Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:15:09.481Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:15:09.481Z] 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. [2026-04-01T21:15:09.481Z] The best model improves the baseline by 14.52%. [2026-04-01T21:15:09.848Z] Top recommended movies for user id 72: [2026-04-01T21:15:09.848Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:15:09.848Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:15:09.848Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:15:09.848Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:15:09.848Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:15:09.848Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (7839.855 ms) ====== [2026-04-01T21:15:09.848Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-01T21:15:09.848Z] GC before operation: completed in 42.420 ms, heap usage 578.651 MB -> 93.896 MB. [2026-04-01T21:15:11.135Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:15:12.431Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:15:13.380Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:15:14.701Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:15:15.482Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:15:15.910Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:15:16.699Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:15:17.558Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:15:17.558Z] 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. [2026-04-01T21:15:17.558Z] The best model improves the baseline by 14.52%. [2026-04-01T21:15:17.558Z] Top recommended movies for user id 72: [2026-04-01T21:15:17.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:15:17.558Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:15:17.558Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:15:17.558Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:15:17.558Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:15:17.558Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (7778.535 ms) ====== [2026-04-01T21:15:17.558Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-01T21:15:17.558Z] GC before operation: completed in 43.745 ms, heap usage 389.511 MB -> 95.070 MB. [2026-04-01T21:15:18.902Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:15:20.160Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:15:21.090Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:15:22.452Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:15:22.831Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:15:23.780Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:15:24.155Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:15:24.972Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:15:24.972Z] 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. [2026-04-01T21:15:24.972Z] The best model improves the baseline by 14.52%. [2026-04-01T21:15:24.972Z] Top recommended movies for user id 72: [2026-04-01T21:15:24.972Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:15:24.972Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:15:24.972Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:15:24.972Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:15:24.972Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:15:24.972Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (7463.575 ms) ====== [2026-04-01T21:15:24.972Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-01T21:15:24.972Z] GC before operation: completed in 43.021 ms, heap usage 631.987 MB -> 94.150 MB. [2026-04-01T21:15:29.331Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:15:29.331Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:15:29.331Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:15:29.331Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:15:29.693Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:15:30.482Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:15:30.883Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:15:31.681Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:15:31.681Z] 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. [2026-04-01T21:15:31.681Z] The best model improves the baseline by 14.52%. [2026-04-01T21:15:31.681Z] Top recommended movies for user id 72: [2026-04-01T21:15:31.681Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:15:31.681Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:15:31.681Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:15:31.681Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:15:31.681Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:15:31.681Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (6623.425 ms) ====== [2026-04-01T21:15:31.681Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-01T21:15:31.681Z] GC before operation: completed in 41.767 ms, heap usage 408.356 MB -> 93.710 MB. [2026-04-01T21:15:32.530Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:15:33.794Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:15:34.958Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:15:35.824Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:15:36.649Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:15:37.029Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:15:37.897Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:15:38.692Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:15:38.692Z] 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. [2026-04-01T21:15:38.692Z] The best model improves the baseline by 14.52%. [2026-04-01T21:15:38.692Z] Top recommended movies for user id 72: [2026-04-01T21:15:38.692Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:15:38.692Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:15:38.692Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:15:38.692Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:15:38.692Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:15:38.692Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (6894.645 ms) ====== [2026-04-01T21:15:38.692Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-01T21:15:38.692Z] GC before operation: completed in 43.249 ms, heap usage 401.553 MB -> 90.548 MB. [2026-04-01T21:15:39.958Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:15:41.234Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:15:42.584Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:15:43.368Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:15:44.154Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:15:44.957Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:15:45.419Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:15:46.710Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:15:46.710Z] 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. [2026-04-01T21:15:46.710Z] The best model improves the baseline by 14.52%. [2026-04-01T21:15:46.710Z] Top recommended movies for user id 72: [2026-04-01T21:15:46.710Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:15:46.710Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:15:46.710Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:15:46.710Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:15:46.710Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:15:46.710Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (8170.876 ms) ====== [2026-04-01T21:15:46.710Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-01T21:15:47.068Z] GC before operation: completed in 75.903 ms, heap usage 452.105 MB -> 92.093 MB. [2026-04-01T21:15:48.944Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:15:50.496Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:15:51.339Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:15:52.690Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:15:53.094Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:15:53.959Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:15:54.349Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:15:54.738Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:15:55.089Z] 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. [2026-04-01T21:15:55.089Z] The best model improves the baseline by 14.52%. [2026-04-01T21:15:55.089Z] Top recommended movies for user id 72: [2026-04-01T21:15:55.089Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:15:55.089Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:15:55.089Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:15:55.089Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:15:55.089Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:15:55.089Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (8046.240 ms) ====== [2026-04-01T21:15:55.089Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-01T21:15:55.089Z] GC before operation: completed in 44.387 ms, heap usage 750.791 MB -> 94.278 MB. [2026-04-01T21:15:55.943Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:15:57.052Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:15:57.855Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:15:59.207Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:15:59.568Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:16:00.402Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:16:01.284Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:16:01.748Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:16:01.748Z] 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. [2026-04-01T21:16:01.748Z] The best model improves the baseline by 14.52%. [2026-04-01T21:16:02.206Z] Top recommended movies for user id 72: [2026-04-01T21:16:02.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:16:02.206Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:16:02.206Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:16:02.206Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:16:02.206Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:16:02.206Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (6859.365 ms) ====== [2026-04-01T21:16:02.206Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-01T21:16:02.206Z] GC before operation: completed in 41.561 ms, heap usage 266.734 MB -> 90.532 MB. [2026-04-01T21:16:03.010Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:16:04.423Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:16:05.278Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:16:06.150Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:16:06.712Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:16:07.097Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:16:08.019Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:16:08.957Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:16:08.957Z] 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. [2026-04-01T21:16:08.957Z] The best model improves the baseline by 14.52%. [2026-04-01T21:16:08.957Z] Top recommended movies for user id 72: [2026-04-01T21:16:08.957Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:16:08.957Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:16:08.957Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:16:08.957Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:16:08.957Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:16:08.957Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (6842.705 ms) ====== [2026-04-01T21:16:08.957Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-01T21:16:08.957Z] GC before operation: completed in 44.628 ms, heap usage 243.374 MB -> 90.179 MB. [2026-04-01T21:16:09.810Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:16:10.621Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:16:11.626Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:16:12.985Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:16:13.421Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:16:14.251Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:16:15.193Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:16:15.568Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:16:15.568Z] 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. [2026-04-01T21:16:15.568Z] The best model improves the baseline by 14.52%. [2026-04-01T21:16:15.568Z] Top recommended movies for user id 72: [2026-04-01T21:16:15.568Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:16:15.568Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:16:15.568Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:16:15.568Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:16:15.568Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:16:15.568Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (6835.119 ms) ====== [2026-04-01T21:16:15.568Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-01T21:16:15.568Z] GC before operation: completed in 42.515 ms, heap usage 491.451 MB -> 90.975 MB. [2026-04-01T21:16:16.661Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:16:18.040Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:16:18.839Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:16:20.127Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:16:20.918Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:16:21.291Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:16:22.073Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:16:22.449Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:16:22.824Z] 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. [2026-04-01T21:16:22.824Z] The best model improves the baseline by 14.52%. [2026-04-01T21:16:22.824Z] Top recommended movies for user id 72: [2026-04-01T21:16:22.824Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:16:22.824Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:16:22.824Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:16:22.824Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:16:22.824Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:16:22.824Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (7068.437 ms) ====== [2026-04-01T21:16:22.824Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-01T21:16:22.824Z] GC before operation: completed in 39.775 ms, heap usage 233.371 MB -> 90.359 MB. [2026-04-01T21:16:24.167Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:16:24.964Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:16:25.825Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:16:27.188Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:16:27.577Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:16:28.355Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:16:29.140Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:16:29.506Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:16:29.506Z] 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. [2026-04-01T21:16:29.855Z] The best model improves the baseline by 14.52%. [2026-04-01T21:16:29.855Z] Top recommended movies for user id 72: [2026-04-01T21:16:29.855Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:16:29.855Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:16:29.855Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:16:29.855Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:16:29.855Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:16:29.855Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (6945.154 ms) ====== [2026-04-01T21:16:29.855Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-01T21:16:29.855Z] GC before operation: completed in 39.350 ms, heap usage 177.893 MB -> 93.739 MB. [2026-04-01T21:16:31.116Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:16:31.918Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:16:33.457Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:16:34.283Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:16:35.220Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:16:35.582Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:16:36.139Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:16:36.955Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:16:36.955Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-01T21:16:36.955Z] The best model improves the baseline by 14.52%. [2026-04-01T21:16:36.955Z] Top recommended movies for user id 72: [2026-04-01T21:16:36.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:16:36.955Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:16:36.955Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:16:36.955Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:16:36.955Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:16:36.955Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (7245.440 ms) ====== [2026-04-01T21:16:36.955Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-01T21:16:36.955Z] GC before operation: completed in 43.907 ms, heap usage 137.083 MB -> 92.291 MB. [2026-04-01T21:16:38.233Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:16:39.512Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:16:40.330Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:16:41.598Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:16:42.405Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:16:42.801Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:16:43.608Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:16:44.432Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:16:44.432Z] 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. [2026-04-01T21:16:44.432Z] The best model improves the baseline by 14.52%. [2026-04-01T21:16:44.432Z] Top recommended movies for user id 72: [2026-04-01T21:16:44.432Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:16:44.432Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:16:44.432Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:16:44.432Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:16:44.432Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:16:44.432Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (7458.813 ms) ====== [2026-04-01T21:16:44.432Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-01T21:16:44.432Z] GC before operation: completed in 51.586 ms, heap usage 750.490 MB -> 94.377 MB. [2026-04-01T21:16:45.804Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:16:46.642Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:16:47.979Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:16:49.306Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:16:50.131Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:16:50.560Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:16:51.395Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:16:51.933Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:16:52.314Z] 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. [2026-04-01T21:16:52.314Z] The best model improves the baseline by 14.52%. [2026-04-01T21:16:52.314Z] Top recommended movies for user id 72: [2026-04-01T21:16:52.314Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:16:52.314Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:16:52.314Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:16:52.314Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:16:52.314Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:16:52.314Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (7458.034 ms) ====== [2026-04-01T21:16:52.314Z] ----------------------------------- [2026-04-01T21:16:52.314Z] renaissance-movie-lens_0_PASSED [2026-04-01T21:16:52.314Z] ----------------------------------- [2026-04-01T21:16:52.314Z] [2026-04-01T21:16:52.314Z] TEST TEARDOWN: [2026-04-01T21:16:52.314Z] Nothing to be done for teardown. [2026-04-01T21:16:52.314Z] renaissance-movie-lens_0 Finish Time: Wed Apr 1 17:16:52 2026 Epoch Time (ms): 1775078212137