[2026-02-25T23:43:12.028Z] Running test renaissance-movie-lens_0 ... [2026-02-25T23:43:12.363Z] =============================================== [2026-02-25T23:43:12.363Z] renaissance-movie-lens_0 Start Time: Wed Feb 25 23:43:12 2026 Epoch Time (ms): 1772062992135 [2026-02-25T23:43:12.363Z] variation: NoOptions [2026-02-25T23:43:12.716Z] JVM_OPTIONS: [2026-02-25T23:43:12.716Z] { \ [2026-02-25T23:43:12.716Z] echo ""; echo "TEST SETUP:"; \ [2026-02-25T23:43:12.716Z] echo "Nothing to be done for setup."; \ [2026-02-25T23:43:12.716Z] mkdir -p "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17720616911226\\renaissance-movie-lens_0"; \ [2026-02-25T23:43:12.716Z] cd "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17720616911226\\renaissance-movie-lens_0"; \ [2026-02-25T23:43:12.716Z] echo ""; echo "TESTING:"; \ [2026-02-25T23:43:12.716Z] "c:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/jdkbinary/j2sdk-image\\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 "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17720616911226\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-02-25T23:43:12.716Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17720616911226\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-25T23:43:12.716Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-25T23:43:12.716Z] echo "Nothing to be done for teardown."; \ [2026-02-25T23:43:12.716Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17720616911226\\TestTargetResult"; [2026-02-25T23:43:12.716Z] [2026-02-25T23:43:12.716Z] TEST SETUP: [2026-02-25T23:43:12.716Z] Nothing to be done for setup. [2026-02-25T23:43:12.716Z] [2026-02-25T23:43:12.716Z] TESTING: [2026-02-25T23:43:28.748Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-25T23:43:33.657Z] 23:43:32.994 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-25T23:43:35.652Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-25T23:43:36.076Z] Training: 60056, validation: 20285, test: 19854 [2026-02-25T23:43:36.076Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-25T23:43:36.076Z] GC before operation: completed in 110.590 ms, heap usage 236.870 MB -> 75.905 MB. [2026-02-25T23:43:52.678Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T23:44:03.706Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T23:44:12.792Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T23:44:21.813Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T23:44:25.676Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T23:44:31.694Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T23:44:36.566Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T23:44:41.436Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T23:44:41.436Z] 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. [2026-02-25T23:44:41.436Z] The best model improves the baseline by 14.52%. [2026-02-25T23:44:41.804Z] Top recommended movies for user id 72: [2026-02-25T23:44:41.804Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T23:44:41.804Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T23:44:41.804Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T23:44:41.804Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T23:44:41.804Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T23:44:41.804Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (65653.809 ms) ====== [2026-02-25T23:44:41.804Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-25T23:44:41.804Z] GC before operation: completed in 122.844 ms, heap usage 379.903 MB -> 92.249 MB. [2026-02-25T23:44:50.933Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T23:44:58.323Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T23:45:09.319Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T23:45:15.331Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T23:45:20.190Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T23:45:25.067Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T23:45:29.901Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T23:45:34.749Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T23:45:34.749Z] 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. [2026-02-25T23:45:34.749Z] The best model improves the baseline by 14.52%. [2026-02-25T23:45:35.113Z] Top recommended movies for user id 72: [2026-02-25T23:45:35.113Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T23:45:35.113Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T23:45:35.113Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T23:45:35.113Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T23:45:35.113Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T23:45:35.113Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (53317.756 ms) ====== [2026-02-25T23:45:35.113Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-25T23:45:35.113Z] GC before operation: completed in 107.508 ms, heap usage 305.571 MB -> 88.879 MB. [2026-02-25T23:45:46.155Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T23:45:53.514Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T23:46:00.951Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T23:46:08.327Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T23:46:13.186Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T23:46:18.031Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T23:46:22.870Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T23:46:26.756Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T23:46:27.592Z] 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. [2026-02-25T23:46:27.592Z] The best model improves the baseline by 14.52%. [2026-02-25T23:46:27.592Z] Top recommended movies for user id 72: [2026-02-25T23:46:27.592Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T23:46:27.592Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T23:46:27.592Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T23:46:27.592Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T23:46:27.592Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T23:46:27.592Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (52469.278 ms) ====== [2026-02-25T23:46:27.592Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-25T23:46:27.947Z] GC before operation: completed in 115.715 ms, heap usage 534.464 MB -> 92.091 MB. [2026-02-25T23:46:35.369Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T23:46:42.792Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T23:46:51.804Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T23:47:00.798Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T23:47:04.695Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T23:47:08.565Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T23:47:13.427Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T23:47:17.319Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T23:47:18.066Z] 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. [2026-02-25T23:47:18.066Z] The best model improves the baseline by 14.52%. [2026-02-25T23:47:18.447Z] Top recommended movies for user id 72: [2026-02-25T23:47:18.447Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T23:47:18.447Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T23:47:18.447Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T23:47:18.447Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T23:47:18.447Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T23:47:18.447Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (50520.509 ms) ====== [2026-02-25T23:47:18.447Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-25T23:47:18.447Z] GC before operation: completed in 123.300 ms, heap usage 246.606 MB -> 91.821 MB. [2026-02-25T23:47:27.496Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T23:47:34.918Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T23:47:43.966Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T23:47:51.323Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T23:47:55.195Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T23:48:00.109Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T23:48:06.150Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T23:48:10.043Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T23:48:10.043Z] 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. [2026-02-25T23:48:10.043Z] The best model improves the baseline by 14.52%. [2026-02-25T23:48:11.267Z] Top recommended movies for user id 72: [2026-02-25T23:48:11.267Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T23:48:11.267Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T23:48:11.267Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T23:48:11.267Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T23:48:11.267Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T23:48:11.267Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (52566.206 ms) ====== [2026-02-25T23:48:11.267Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-25T23:48:11.267Z] GC before operation: completed in 108.224 ms, heap usage 303.395 MB -> 89.765 MB. [2026-02-25T23:48:20.348Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T23:48:29.376Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T23:48:38.377Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T23:48:45.784Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T23:48:50.647Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T23:48:55.508Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T23:49:00.370Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T23:49:04.256Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T23:49:04.619Z] 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. [2026-02-25T23:49:05.052Z] The best model improves the baseline by 14.52%. [2026-02-25T23:49:05.052Z] Top recommended movies for user id 72: [2026-02-25T23:49:05.052Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T23:49:05.052Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T23:49:05.052Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T23:49:05.052Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T23:49:05.052Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T23:49:05.052Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (54024.089 ms) ====== [2026-02-25T23:49:05.052Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-25T23:49:05.408Z] GC before operation: completed in 113.572 ms, heap usage 304.064 MB -> 90.235 MB. [2026-02-25T23:49:14.429Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T23:49:23.483Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T23:49:30.899Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T23:49:38.295Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T23:49:43.119Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T23:49:47.007Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T23:49:51.888Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T23:49:55.822Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T23:49:56.592Z] 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. [2026-02-25T23:49:56.592Z] The best model improves the baseline by 14.52%. [2026-02-25T23:49:56.592Z] Top recommended movies for user id 72: [2026-02-25T23:49:56.592Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T23:49:56.592Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T23:49:56.592Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T23:49:56.593Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T23:49:56.593Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T23:49:56.593Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (51400.935 ms) ====== [2026-02-25T23:49:56.593Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-25T23:49:56.953Z] GC before operation: completed in 114.709 ms, heap usage 537.723 MB -> 92.923 MB. [2026-02-25T23:50:05.973Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T23:50:13.145Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T23:50:22.203Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T23:50:28.220Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T23:50:33.215Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T23:50:37.101Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T23:50:42.015Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T23:50:46.863Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T23:50:46.863Z] 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. [2026-02-25T23:50:47.234Z] The best model improves the baseline by 14.52%. [2026-02-25T23:50:47.234Z] Top recommended movies for user id 72: [2026-02-25T23:50:47.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T23:50:47.234Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T23:50:47.234Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T23:50:47.234Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T23:50:47.234Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T23:50:47.234Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (50527.118 ms) ====== [2026-02-25T23:50:47.234Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-25T23:50:47.583Z] GC before operation: completed in 112.494 ms, heap usage 375.280 MB -> 97.321 MB. [2026-02-25T23:50:55.003Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T23:51:04.009Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T23:51:13.107Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T23:51:20.539Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T23:51:24.413Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T23:51:29.356Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T23:51:34.207Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T23:51:38.069Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T23:51:38.865Z] 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. [2026-02-25T23:51:38.865Z] The best model improves the baseline by 14.52%. [2026-02-25T23:51:38.865Z] Top recommended movies for user id 72: [2026-02-25T23:51:38.865Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T23:51:38.865Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T23:51:38.865Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T23:51:38.865Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T23:51:38.865Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T23:51:38.865Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (51532.883 ms) ====== [2026-02-25T23:51:38.865Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-25T23:51:39.226Z] GC before operation: completed in 120.054 ms, heap usage 426.111 MB -> 93.579 MB. [2026-02-25T23:51:46.596Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T23:51:55.612Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T23:52:02.983Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T23:52:10.405Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T23:52:15.281Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T23:52:19.135Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T23:52:23.985Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T23:52:28.854Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T23:52:29.209Z] 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. [2026-02-25T23:52:29.210Z] The best model improves the baseline by 14.52%. [2026-02-25T23:52:29.566Z] Top recommended movies for user id 72: [2026-02-25T23:52:29.566Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T23:52:29.566Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T23:52:29.566Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T23:52:29.566Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T23:52:29.566Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T23:52:29.566Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (50496.122 ms) ====== [2026-02-25T23:52:29.566Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-25T23:52:29.566Z] GC before operation: completed in 115.716 ms, heap usage 304.390 MB -> 90.338 MB. [2026-02-25T23:52:37.000Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T23:52:46.009Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T23:52:53.410Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T23:53:02.420Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T23:53:06.282Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T23:53:10.122Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T23:53:14.985Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T23:53:18.900Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T23:53:19.254Z] 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. [2026-02-25T23:53:19.254Z] The best model improves the baseline by 14.52%. [2026-02-25T23:53:19.645Z] Top recommended movies for user id 72: [2026-02-25T23:53:19.645Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T23:53:19.645Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T23:53:19.645Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T23:53:19.645Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T23:53:19.645Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T23:53:19.645Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (50026.471 ms) ====== [2026-02-25T23:53:19.645Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-25T23:53:19.997Z] GC before operation: completed in 116.706 ms, heap usage 139.305 MB -> 94.830 MB. [2026-02-25T23:53:27.377Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T23:53:34.776Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T23:53:43.792Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T23:53:51.258Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T23:53:55.137Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T23:54:00.006Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T23:54:04.855Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T23:54:08.722Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T23:54:09.079Z] 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. [2026-02-25T23:54:09.496Z] The best model improves the baseline by 14.52%. [2026-02-25T23:54:09.497Z] Top recommended movies for user id 72: [2026-02-25T23:54:09.497Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T23:54:09.497Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T23:54:09.497Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T23:54:09.497Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T23:54:09.497Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T23:54:09.497Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (49741.054 ms) ====== [2026-02-25T23:54:09.497Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-25T23:54:09.858Z] GC before operation: completed in 109.240 ms, heap usage 206.002 MB -> 90.137 MB. [2026-02-25T23:54:18.893Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T23:54:27.983Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T23:54:37.002Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T23:54:44.379Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T23:54:48.249Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T23:54:53.096Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T23:54:57.944Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T23:55:01.844Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T23:55:02.585Z] 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. [2026-02-25T23:55:02.585Z] The best model improves the baseline by 14.52%. [2026-02-25T23:55:02.937Z] Top recommended movies for user id 72: [2026-02-25T23:55:02.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T23:55:02.937Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T23:55:02.937Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T23:55:02.937Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T23:55:02.937Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T23:55:02.937Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (53159.909 ms) ====== [2026-02-25T23:55:02.937Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-25T23:55:02.937Z] GC before operation: completed in 106.690 ms, heap usage 280.994 MB -> 93.580 MB. [2026-02-25T23:55:10.344Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T23:55:17.749Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T23:55:26.784Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T23:55:35.819Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T23:55:39.660Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T23:55:43.526Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T23:55:48.385Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T23:55:53.256Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T23:55:53.256Z] 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. [2026-02-25T23:55:53.256Z] The best model improves the baseline by 14.52%. [2026-02-25T23:55:53.643Z] Top recommended movies for user id 72: [2026-02-25T23:55:53.643Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T23:55:53.643Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T23:55:53.643Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T23:55:53.643Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T23:55:53.643Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T23:55:53.643Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (50565.423 ms) ====== [2026-02-25T23:55:53.643Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-25T23:55:53.643Z] GC before operation: completed in 119.381 ms, heap usage 355.287 MB -> 93.507 MB. [2026-02-25T23:56:02.635Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T23:56:10.023Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T23:56:19.047Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T23:56:25.066Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T23:56:29.955Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T23:56:33.820Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T23:56:39.853Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T23:56:43.737Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T23:56:44.173Z] 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. [2026-02-25T23:56:44.173Z] The best model improves the baseline by 14.52%. [2026-02-25T23:56:44.173Z] Top recommended movies for user id 72: [2026-02-25T23:56:44.173Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T23:56:44.173Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T23:56:44.173Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T23:56:44.173Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T23:56:44.173Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T23:56:44.173Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (50632.214 ms) ====== [2026-02-25T23:56:44.173Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-25T23:56:44.782Z] GC before operation: completed in 111.074 ms, heap usage 139.205 MB -> 94.749 MB. [2026-02-25T23:56:52.174Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T23:57:01.228Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T23:57:08.666Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T23:57:16.080Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T23:57:22.122Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T23:57:26.027Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T23:57:30.927Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T23:57:34.778Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T23:57:35.139Z] 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. [2026-02-25T23:57:35.139Z] The best model improves the baseline by 14.52%. [2026-02-25T23:57:35.493Z] Top recommended movies for user id 72: [2026-02-25T23:57:35.493Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T23:57:35.493Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T23:57:35.493Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T23:57:35.493Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T23:57:35.493Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T23:57:35.493Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (51113.657 ms) ====== [2026-02-25T23:57:35.493Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-25T23:57:35.493Z] GC before operation: completed in 111.782 ms, heap usage 287.182 MB -> 90.258 MB. [2026-02-25T23:57:44.495Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T23:57:51.924Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T23:58:00.951Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T23:58:08.338Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T23:58:13.209Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T23:58:17.074Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T23:58:21.943Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T23:58:25.790Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T23:58:26.603Z] 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. [2026-02-25T23:58:26.603Z] The best model improves the baseline by 14.52%. [2026-02-25T23:58:26.603Z] Top recommended movies for user id 72: [2026-02-25T23:58:26.603Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T23:58:26.603Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T23:58:26.603Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T23:58:26.603Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T23:58:26.603Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T23:58:26.603Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (51059.909 ms) ====== [2026-02-25T23:58:26.603Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-25T23:58:26.984Z] GC before operation: completed in 119.404 ms, heap usage 533.590 MB -> 93.884 MB. [2026-02-25T23:58:36.002Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T23:58:43.381Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T23:58:52.397Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T23:58:58.404Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T23:59:03.286Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T23:59:08.155Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T23:59:13.022Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T23:59:16.887Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T23:59:17.707Z] 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. [2026-02-25T23:59:17.707Z] The best model improves the baseline by 14.52%. [2026-02-25T23:59:17.707Z] Top recommended movies for user id 72: [2026-02-25T23:59:17.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T23:59:17.707Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T23:59:17.707Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T23:59:17.707Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T23:59:17.707Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T23:59:17.707Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (51012.868 ms) ====== [2026-02-25T23:59:17.707Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-25T23:59:18.072Z] GC before operation: completed in 112.934 ms, heap usage 175.137 MB -> 96.922 MB. [2026-02-25T23:59:25.463Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T23:59:32.873Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T23:59:41.962Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T23:59:49.397Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T23:59:54.286Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T23:59:58.197Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T00:00:03.139Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T00:00:08.088Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T00:00:08.088Z] 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. [2026-02-26T00:00:08.088Z] The best model improves the baseline by 14.52%. [2026-02-26T00:00:08.088Z] Top recommended movies for user id 72: [2026-02-26T00:00:08.088Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T00:00:08.088Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T00:00:08.088Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T00:00:08.088Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T00:00:08.088Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T00:00:08.088Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (50271.323 ms) ====== [2026-02-26T00:00:08.088Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-26T00:00:08.455Z] GC before operation: completed in 111.856 ms, heap usage 111.359 MB -> 92.275 MB. [2026-02-26T00:00:15.860Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T00:00:24.864Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T00:00:32.260Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T00:00:39.635Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T00:00:43.512Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T00:00:48.349Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T00:00:53.232Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T00:00:58.080Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T00:00:58.080Z] 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. [2026-02-26T00:00:58.080Z] The best model improves the baseline by 14.52%. [2026-02-26T00:00:58.467Z] Top recommended movies for user id 72: [2026-02-26T00:00:58.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T00:00:58.467Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T00:00:58.467Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T00:00:58.467Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T00:00:58.467Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T00:00:58.467Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (50184.083 ms) ====== [2026-02-26T00:00:59.210Z] ----------------------------------- [2026-02-26T00:00:59.210Z] renaissance-movie-lens_0_PASSED [2026-02-26T00:00:59.210Z] ----------------------------------- [2026-02-26T00:00:59.548Z] [2026-02-26T00:00:59.548Z] TEST TEARDOWN: [2026-02-26T00:00:59.548Z] Nothing to be done for teardown. [2026-02-26T00:00:59.885Z] renaissance-movie-lens_0 Finish Time: Thu Feb 26 00:00:59 2026 Epoch Time (ms): 1772064059568