[2026-02-12T07:58:28.105Z] Running test renaissance-movie-lens_0 ... [2026-02-12T07:58:28.105Z] =============================================== [2026-02-12T07:58:28.105Z] renaissance-movie-lens_0 Start Time: Thu Feb 12 07:58:27 2026 Epoch Time (ms): 1770883107732 [2026-02-12T07:58:28.105Z] variation: NoOptions [2026-02-12T07:58:28.105Z] JVM_OPTIONS: [2026-02-12T07:58:28.105Z] { \ [2026-02-12T07:58:28.105Z] echo ""; echo "TEST SETUP:"; \ [2026-02-12T07:58:28.105Z] echo "Nothing to be done for setup."; \ [2026-02-12T07:58:28.105Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17708820567540/renaissance-movie-lens_0"; \ [2026-02-12T07:58:28.105Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17708820567540/renaissance-movie-lens_0"; \ [2026-02-12T07:58:28.105Z] echo ""; echo "TESTING:"; \ [2026-02-12T07:58:28.105Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/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 "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17708820567540/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-12T07:58:28.105Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17708820567540/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-12T07:58:28.105Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-12T07:58:28.105Z] echo "Nothing to be done for teardown."; \ [2026-02-12T07:58:28.105Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17708820567540/TestTargetResult"; [2026-02-12T07:58:28.105Z] [2026-02-12T07:58:28.105Z] TEST SETUP: [2026-02-12T07:58:28.105Z] Nothing to be done for setup. [2026-02-12T07:58:28.105Z] [2026-02-12T07:58:28.105Z] TESTING: [2026-02-12T07:58:37.985Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-12T07:58:46.967Z] 07:58:45.420 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. [2026-02-12T07:58:47.937Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-12T07:58:48.906Z] Training: 60056, validation: 20285, test: 19854 [2026-02-12T07:58:48.906Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-12T07:58:48.906Z] GC before operation: completed in 228.085 ms, heap usage 379.406 MB -> 76.083 MB. [2026-02-12T07:58:57.229Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T07:59:01.448Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T07:59:05.682Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T07:59:08.749Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T07:59:10.737Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T07:59:12.726Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T07:59:15.821Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T07:59:17.810Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T07:59:17.810Z] 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. [2026-02-12T07:59:17.810Z] The best model improves the baseline by 14.52%. [2026-02-12T07:59:18.781Z] Top recommended movies for user id 72: [2026-02-12T07:59:18.781Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T07:59:18.781Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T07:59:18.781Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T07:59:18.781Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T07:59:18.781Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T07:59:18.781Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29493.864 ms) ====== [2026-02-12T07:59:18.781Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-12T07:59:18.781Z] GC before operation: completed in 189.556 ms, heap usage 477.490 MB -> 86.998 MB. [2026-02-12T07:59:23.012Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T07:59:26.089Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T07:59:30.313Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T07:59:33.389Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T07:59:36.447Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T07:59:38.477Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T07:59:40.471Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T07:59:42.461Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T07:59:43.430Z] 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. [2026-02-12T07:59:43.430Z] The best model improves the baseline by 14.52%. [2026-02-12T07:59:43.430Z] Top recommended movies for user id 72: [2026-02-12T07:59:43.430Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T07:59:43.430Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T07:59:43.430Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T07:59:43.430Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T07:59:43.430Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T07:59:43.430Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24665.234 ms) ====== [2026-02-12T07:59:43.430Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-12T07:59:43.430Z] GC before operation: completed in 183.938 ms, heap usage 126.579 MB -> 88.817 MB. [2026-02-12T07:59:47.660Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T07:59:50.414Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T07:59:53.484Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T07:59:57.704Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T07:59:59.684Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T08:00:01.664Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T08:00:03.679Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T08:00:05.685Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T08:00:05.685Z] 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. [2026-02-12T08:00:05.685Z] The best model improves the baseline by 14.52%. [2026-02-12T08:00:05.685Z] Top recommended movies for user id 72: [2026-02-12T08:00:05.685Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T08:00:05.685Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T08:00:05.685Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T08:00:05.685Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T08:00:05.685Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T08:00:05.685Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22338.760 ms) ====== [2026-02-12T08:00:05.685Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-12T08:00:05.685Z] GC before operation: completed in 171.305 ms, heap usage 261.082 MB -> 89.662 MB. [2026-02-12T08:00:09.900Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T08:00:13.031Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T08:00:16.094Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T08:00:20.485Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T08:00:22.529Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T08:00:23.502Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T08:00:25.579Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T08:00:28.706Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T08:00:28.706Z] 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. [2026-02-12T08:00:28.706Z] The best model improves the baseline by 14.52%. [2026-02-12T08:00:28.706Z] Top recommended movies for user id 72: [2026-02-12T08:00:28.706Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T08:00:28.706Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T08:00:28.706Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T08:00:28.706Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T08:00:28.706Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T08:00:28.706Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22591.554 ms) ====== [2026-02-12T08:00:28.706Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-12T08:00:28.706Z] GC before operation: completed in 198.561 ms, heap usage 181.271 MB -> 89.842 MB. [2026-02-12T08:00:32.923Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T08:00:36.000Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T08:00:39.115Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T08:00:43.401Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T08:00:45.435Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T08:00:47.621Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T08:00:50.693Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T08:00:52.677Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T08:00:52.677Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T08:00:52.677Z] The best model improves the baseline by 14.52%. [2026-02-12T08:00:52.677Z] Top recommended movies for user id 72: [2026-02-12T08:00:52.677Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T08:00:52.677Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T08:00:52.677Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T08:00:52.677Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T08:00:52.677Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T08:00:52.677Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24126.480 ms) ====== [2026-02-12T08:00:52.677Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-12T08:00:53.650Z] GC before operation: completed in 199.629 ms, heap usage 178.067 MB -> 89.806 MB. [2026-02-12T08:00:56.726Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T08:01:01.763Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T08:01:05.388Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T08:01:09.801Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T08:01:11.871Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T08:01:13.868Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T08:01:17.056Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T08:01:19.382Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T08:01:19.382Z] 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. [2026-02-12T08:01:19.382Z] The best model improves the baseline by 14.52%. [2026-02-12T08:01:20.349Z] Top recommended movies for user id 72: [2026-02-12T08:01:20.349Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T08:01:20.349Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T08:01:20.349Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T08:01:20.349Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T08:01:20.349Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T08:01:20.349Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (26760.672 ms) ====== [2026-02-12T08:01:20.349Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-12T08:01:20.349Z] GC before operation: completed in 206.433 ms, heap usage 465.565 MB -> 90.484 MB. [2026-02-12T08:01:24.015Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T08:01:27.378Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T08:01:32.031Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T08:01:35.524Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T08:01:37.528Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T08:01:38.739Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T08:01:42.084Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T08:01:44.075Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T08:01:44.075Z] 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. [2026-02-12T08:01:44.075Z] The best model improves the baseline by 14.52%. [2026-02-12T08:01:44.075Z] Top recommended movies for user id 72: [2026-02-12T08:01:44.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T08:01:44.075Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T08:01:44.075Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T08:01:44.075Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T08:01:44.075Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T08:01:44.075Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (23844.322 ms) ====== [2026-02-12T08:01:44.075Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-12T08:01:44.075Z] GC before operation: completed in 190.599 ms, heap usage 462.285 MB -> 90.518 MB. [2026-02-12T08:01:47.253Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T08:01:50.755Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T08:01:53.826Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T08:01:57.095Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T08:01:59.366Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T08:02:01.574Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T08:02:02.543Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T08:02:04.527Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T08:02:04.527Z] 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. [2026-02-12T08:02:04.527Z] The best model improves the baseline by 14.52%. [2026-02-12T08:02:05.489Z] Top recommended movies for user id 72: [2026-02-12T08:02:05.489Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T08:02:05.489Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T08:02:05.489Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T08:02:05.489Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T08:02:05.489Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T08:02:05.489Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20866.712 ms) ====== [2026-02-12T08:02:05.489Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-12T08:02:05.489Z] GC before operation: completed in 160.338 ms, heap usage 122.754 MB -> 91.573 MB. [2026-02-12T08:02:08.572Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T08:02:11.975Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T08:02:15.267Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T08:02:17.889Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T08:02:20.197Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T08:02:22.498Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T08:02:24.656Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T08:02:26.782Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T08:02:26.782Z] 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. [2026-02-12T08:02:26.782Z] The best model improves the baseline by 14.52%. [2026-02-12T08:02:26.782Z] Top recommended movies for user id 72: [2026-02-12T08:02:26.782Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T08:02:26.782Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T08:02:26.782Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T08:02:26.782Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T08:02:26.782Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T08:02:26.782Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21651.588 ms) ====== [2026-02-12T08:02:26.782Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-12T08:02:27.748Z] GC before operation: completed in 203.209 ms, heap usage 236.180 MB -> 90.223 MB. [2026-02-12T08:02:30.816Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T08:02:34.123Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T08:02:37.653Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T08:02:41.177Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T08:02:43.163Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T08:02:45.148Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T08:02:46.118Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T08:02:48.184Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T08:02:48.184Z] 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. [2026-02-12T08:02:49.198Z] The best model improves the baseline by 14.52%. [2026-02-12T08:02:49.198Z] Top recommended movies for user id 72: [2026-02-12T08:02:49.198Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T08:02:49.198Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T08:02:49.198Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T08:02:49.198Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T08:02:49.198Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T08:02:49.198Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21612.061 ms) ====== [2026-02-12T08:02:49.198Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-12T08:02:49.198Z] GC before operation: completed in 210.143 ms, heap usage 256.808 MB -> 90.418 MB. [2026-02-12T08:02:52.266Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T08:02:55.341Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T08:02:58.402Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T08:03:01.114Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T08:03:02.080Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T08:03:04.071Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T08:03:06.053Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T08:03:07.021Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T08:03:07.021Z] 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. [2026-02-12T08:03:07.021Z] The best model improves the baseline by 14.52%. [2026-02-12T08:03:07.988Z] Top recommended movies for user id 72: [2026-02-12T08:03:07.988Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T08:03:07.988Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T08:03:07.988Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T08:03:07.988Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T08:03:07.988Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T08:03:07.989Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18422.575 ms) ====== [2026-02-12T08:03:07.989Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-12T08:03:07.989Z] GC before operation: completed in 291.020 ms, heap usage 117.964 MB -> 93.017 MB. [2026-02-12T08:03:11.055Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T08:03:14.121Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T08:03:17.237Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T08:03:19.219Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T08:03:21.211Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T08:03:23.233Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T08:03:25.231Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T08:03:27.229Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T08:03:27.229Z] 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. [2026-02-12T08:03:27.229Z] The best model improves the baseline by 14.52%. [2026-02-12T08:03:27.229Z] Top recommended movies for user id 72: [2026-02-12T08:03:27.229Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T08:03:27.229Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T08:03:27.229Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T08:03:27.229Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T08:03:27.229Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T08:03:27.229Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19640.668 ms) ====== [2026-02-12T08:03:27.229Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-12T08:03:27.229Z] GC before operation: completed in 173.252 ms, heap usage 456.625 MB -> 90.645 MB. [2026-02-12T08:03:30.294Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T08:03:33.469Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T08:03:37.700Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T08:03:40.769Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T08:03:42.757Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T08:03:44.759Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T08:03:47.850Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T08:03:49.835Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T08:03:49.835Z] 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. [2026-02-12T08:03:49.835Z] The best model improves the baseline by 14.52%. [2026-02-12T08:03:49.835Z] Top recommended movies for user id 72: [2026-02-12T08:03:49.835Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T08:03:49.835Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T08:03:49.835Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T08:03:49.835Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T08:03:49.835Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T08:03:49.835Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (22551.516 ms) ====== [2026-02-12T08:03:49.835Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-12T08:03:50.802Z] GC before operation: completed in 293.418 ms, heap usage 185.024 MB -> 90.437 MB. [2026-02-12T08:03:55.049Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T08:03:58.123Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T08:04:02.377Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T08:04:05.446Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T08:04:07.446Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T08:04:09.452Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T08:04:11.441Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T08:04:14.513Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T08:04:14.513Z] 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. [2026-02-12T08:04:14.513Z] The best model improves the baseline by 14.52%. [2026-02-12T08:04:14.513Z] Top recommended movies for user id 72: [2026-02-12T08:04:14.513Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T08:04:14.513Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T08:04:14.513Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T08:04:14.513Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T08:04:14.513Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T08:04:14.513Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (24456.768 ms) ====== [2026-02-12T08:04:14.513Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-12T08:04:15.485Z] GC before operation: completed in 249.011 ms, heap usage 306.733 MB -> 90.456 MB. [2026-02-12T08:04:18.574Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T08:04:22.393Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T08:04:26.666Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T08:04:30.895Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T08:04:32.905Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T08:04:34.890Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T08:04:37.955Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T08:04:39.951Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T08:04:39.951Z] 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. [2026-02-12T08:04:39.951Z] The best model improves the baseline by 14.52%. [2026-02-12T08:04:40.921Z] Top recommended movies for user id 72: [2026-02-12T08:04:40.921Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T08:04:40.921Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T08:04:40.921Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T08:04:40.921Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T08:04:40.921Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T08:04:40.922Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (25441.233 ms) ====== [2026-02-12T08:04:40.922Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-12T08:04:40.922Z] GC before operation: completed in 349.092 ms, heap usage 370.568 MB -> 90.712 MB. [2026-02-12T08:04:45.149Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T08:04:48.229Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T08:04:52.534Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T08:04:55.608Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T08:04:58.682Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T08:05:00.676Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T08:05:02.673Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T08:05:04.665Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T08:05:05.638Z] 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. [2026-02-12T08:05:05.638Z] The best model improves the baseline by 14.52%. [2026-02-12T08:05:05.638Z] Top recommended movies for user id 72: [2026-02-12T08:05:05.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T08:05:05.638Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T08:05:05.638Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T08:05:05.638Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T08:05:05.638Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T08:05:05.638Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (24427.427 ms) ====== [2026-02-12T08:05:05.638Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-12T08:05:05.638Z] GC before operation: completed in 241.133 ms, heap usage 297.360 MB -> 90.453 MB. [2026-02-12T08:05:09.856Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T08:05:12.944Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T08:05:16.022Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T08:05:19.090Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T08:05:21.824Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T08:05:23.814Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T08:05:25.800Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T08:05:27.793Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T08:05:28.761Z] 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. [2026-02-12T08:05:28.761Z] The best model improves the baseline by 14.52%. [2026-02-12T08:05:28.761Z] Top recommended movies for user id 72: [2026-02-12T08:05:28.761Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T08:05:28.761Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T08:05:28.761Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T08:05:28.761Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T08:05:28.761Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T08:05:28.761Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22949.761 ms) ====== [2026-02-12T08:05:28.761Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-12T08:05:28.761Z] GC before operation: completed in 200.617 ms, heap usage 476.607 MB -> 90.715 MB. [2026-02-12T08:05:33.044Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T08:05:37.276Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T08:05:40.375Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T08:05:44.599Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T08:05:46.591Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T08:05:49.734Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T08:05:51.738Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T08:05:52.709Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T08:05:53.682Z] 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. [2026-02-12T08:05:53.682Z] The best model improves the baseline by 14.52%. [2026-02-12T08:05:53.682Z] Top recommended movies for user id 72: [2026-02-12T08:05:53.682Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T08:05:53.682Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T08:05:53.682Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T08:05:53.682Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T08:05:53.682Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T08:05:53.682Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (24694.152 ms) ====== [2026-02-12T08:05:53.682Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-12T08:05:53.682Z] GC before operation: completed in 215.776 ms, heap usage 181.895 MB -> 90.235 MB. [2026-02-12T08:05:56.766Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T08:06:00.019Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T08:06:03.184Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T08:06:06.371Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T08:06:08.512Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T08:06:10.676Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T08:06:12.933Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T08:06:14.926Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T08:06:14.926Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T08:06:14.926Z] The best model improves the baseline by 14.52%. [2026-02-12T08:06:15.981Z] Top recommended movies for user id 72: [2026-02-12T08:06:15.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T08:06:15.981Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T08:06:15.981Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T08:06:15.981Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T08:06:15.981Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T08:06:15.981Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21803.236 ms) ====== [2026-02-12T08:06:15.981Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-12T08:06:15.981Z] GC before operation: completed in 269.743 ms, heap usage 533.479 MB -> 90.815 MB. [2026-02-12T08:06:20.651Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T08:06:25.350Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T08:06:28.411Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T08:06:31.799Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T08:06:33.494Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T08:06:35.514Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T08:06:36.486Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T08:06:38.479Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T08:06:39.442Z] 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. [2026-02-12T08:06:39.442Z] The best model improves the baseline by 14.52%. [2026-02-12T08:06:39.442Z] Top recommended movies for user id 72: [2026-02-12T08:06:39.442Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T08:06:39.442Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T08:06:39.442Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T08:06:39.442Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T08:06:39.442Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T08:06:39.442Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23392.550 ms) ====== [2026-02-12T08:06:40.406Z] ----------------------------------- [2026-02-12T08:06:40.406Z] renaissance-movie-lens_0_PASSED [2026-02-12T08:06:40.406Z] ----------------------------------- [2026-02-12T08:06:40.406Z] [2026-02-12T08:06:40.407Z] TEST TEARDOWN: [2026-02-12T08:06:40.407Z] Nothing to be done for teardown. [2026-02-12T08:06:40.407Z] renaissance-movie-lens_0 Finish Time: Thu Feb 12 08:06:39 2026 Epoch Time (ms): 1770883599852