[2026-04-02T04:07:18.987Z] Running test renaissance-movie-lens_0 ... [2026-04-02T04:07:18.987Z] =============================================== [2026-04-02T04:07:18.987Z] renaissance-movie-lens_0 Start Time: Thu Apr 2 04:07:18 2026 Epoch Time (ms): 1775102838818 [2026-04-02T04:07:19.326Z] variation: NoOptions [2026-04-02T04:07:19.326Z] JVM_OPTIONS: [2026-04-02T04:07:19.326Z] { \ [2026-04-02T04:07:19.326Z] echo ""; echo "TEST SETUP:"; \ [2026-04-02T04:07:19.326Z] echo "Nothing to be done for setup."; \ [2026-04-02T04:07:19.326Z] mkdir -p "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17751015981465\\renaissance-movie-lens_0"; \ [2026-04-02T04:07:19.326Z] cd "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17751015981465\\renaissance-movie-lens_0"; \ [2026-04-02T04:07:19.326Z] echo ""; echo "TESTING:"; \ [2026-04-02T04:07:19.326Z] "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_17751015981465\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-04-02T04:07:19.326Z] 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_17751015981465\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-02T04:07:19.326Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-02T04:07:19.326Z] echo "Nothing to be done for teardown."; \ [2026-04-02T04:07:19.326Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17751015981465\\TestTargetResult"; [2026-04-02T04:07:19.679Z] [2026-04-02T04:07:19.679Z] TEST SETUP: [2026-04-02T04:07:19.679Z] Nothing to be done for setup. [2026-04-02T04:07:19.679Z] [2026-04-02T04:07:19.679Z] TESTING: [2026-04-02T04:07:32.932Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-02T04:07:39.008Z] 04:07:38.253 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. [2026-04-02T04:07:40.960Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-02T04:07:40.960Z] Training: 60056, validation: 20285, test: 19854 [2026-04-02T04:07:40.960Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-02T04:07:41.322Z] GC before operation: completed in 121.843 ms, heap usage 266.694 MB -> 75.984 MB. [2026-04-02T04:07:52.468Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T04:08:01.515Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T04:08:10.564Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T04:08:18.027Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T04:08:22.952Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T04:08:26.814Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T04:08:31.680Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T04:08:35.561Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T04:08:36.321Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T04:08:36.321Z] The best model improves the baseline by 14.52%. [2026-04-02T04:08:36.707Z] Top recommended movies for user id 72: [2026-04-02T04:08:36.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T04:08:36.707Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T04:08:36.707Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T04:08:36.707Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T04:08:36.707Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T04:08:36.707Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (55584.550 ms) ====== [2026-04-02T04:08:36.707Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-02T04:08:36.707Z] GC before operation: completed in 120.923 ms, heap usage 278.095 MB -> 90.742 MB. [2026-04-02T04:08:44.128Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T04:08:51.501Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T04:09:00.578Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T04:09:06.585Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T04:09:11.416Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T04:09:15.326Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T04:09:20.159Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T04:09:24.112Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T04:09:24.112Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T04:09:24.112Z] The best model improves the baseline by 14.52%. [2026-04-02T04:09:24.112Z] Top recommended movies for user id 72: [2026-04-02T04:09:24.112Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T04:09:24.112Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T04:09:24.112Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T04:09:24.112Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T04:09:24.112Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T04:09:24.112Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (47335.726 ms) ====== [2026-04-02T04:09:24.112Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-02T04:09:24.491Z] GC before operation: completed in 112.876 ms, heap usage 688.136 MB -> 94.905 MB. [2026-04-02T04:09:31.865Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T04:09:39.242Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T04:09:46.634Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T04:09:54.022Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T04:09:57.885Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T04:10:01.785Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T04:10:06.640Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T04:10:10.513Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T04:10:10.877Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T04:10:10.877Z] The best model improves the baseline by 14.52%. [2026-04-02T04:10:11.233Z] Top recommended movies for user id 72: [2026-04-02T04:10:11.233Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T04:10:11.233Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T04:10:11.233Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T04:10:11.233Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T04:10:11.233Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T04:10:11.233Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (46951.337 ms) ====== [2026-04-02T04:10:11.233Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-02T04:10:11.233Z] GC before operation: completed in 109.607 ms, heap usage 283.399 MB -> 91.819 MB. [2026-04-02T04:10:18.634Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T04:10:26.009Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T04:10:33.437Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T04:10:40.840Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T04:10:44.726Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T04:10:48.605Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T04:10:52.541Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T04:10:56.411Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T04:10:56.771Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T04:10:56.771Z] The best model improves the baseline by 14.52%. [2026-04-02T04:10:57.136Z] Top recommended movies for user id 72: [2026-04-02T04:10:57.136Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T04:10:57.136Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T04:10:57.136Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T04:10:57.136Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T04:10:57.136Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T04:10:57.137Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (45802.576 ms) ====== [2026-04-02T04:10:57.137Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-02T04:10:57.137Z] GC before operation: completed in 116.721 ms, heap usage 256.541 MB -> 89.732 MB. [2026-04-02T04:11:06.206Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T04:11:13.626Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T04:11:22.651Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T04:11:28.672Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T04:11:33.553Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T04:11:37.478Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T04:11:42.355Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T04:11:46.227Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T04:11:46.581Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T04:11:46.581Z] The best model improves the baseline by 14.52%. [2026-04-02T04:11:46.938Z] Top recommended movies for user id 72: [2026-04-02T04:11:46.938Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T04:11:46.938Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T04:11:46.938Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T04:11:46.938Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T04:11:46.938Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T04:11:46.938Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (49646.062 ms) ====== [2026-04-02T04:11:46.938Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-02T04:11:46.938Z] GC before operation: completed in 118.062 ms, heap usage 151.571 MB -> 92.715 MB. [2026-04-02T04:11:55.984Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T04:12:02.014Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T04:12:09.470Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T04:12:16.858Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T04:12:20.724Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T04:12:25.589Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T04:12:29.469Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T04:12:33.342Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T04:12:33.782Z] 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. [2026-04-02T04:12:33.783Z] The best model improves the baseline by 14.52%. [2026-04-02T04:12:33.783Z] Top recommended movies for user id 72: [2026-04-02T04:12:33.783Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T04:12:33.783Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T04:12:33.783Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T04:12:33.783Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T04:12:33.783Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T04:12:33.783Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (46807.644 ms) ====== [2026-04-02T04:12:33.783Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-02T04:12:34.162Z] GC before operation: completed in 112.651 ms, heap usage 486.473 MB -> 92.691 MB. [2026-04-02T04:12:41.545Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T04:12:48.954Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T04:12:56.379Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T04:13:02.401Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T04:13:06.282Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T04:13:10.144Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T04:13:15.023Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T04:13:18.904Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T04:13:18.904Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T04:13:18.904Z] The best model improves the baseline by 14.52%. [2026-04-02T04:13:19.289Z] Top recommended movies for user id 72: [2026-04-02T04:13:19.289Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T04:13:19.289Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T04:13:19.289Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T04:13:19.289Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T04:13:19.289Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T04:13:19.289Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (45312.833 ms) ====== [2026-04-02T04:13:19.289Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-02T04:13:19.289Z] GC before operation: completed in 150.942 ms, heap usage 126.975 MB -> 89.849 MB. [2026-04-02T04:13:28.363Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T04:13:34.393Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T04:13:43.427Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T04:13:49.486Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T04:13:53.357Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T04:13:57.202Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T04:14:02.068Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T04:14:05.943Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T04:14:05.943Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T04:14:05.943Z] The best model improves the baseline by 14.52%. [2026-04-02T04:14:06.305Z] Top recommended movies for user id 72: [2026-04-02T04:14:06.305Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T04:14:06.305Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T04:14:06.305Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T04:14:06.305Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T04:14:06.305Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T04:14:06.305Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (46866.192 ms) ====== [2026-04-02T04:14:06.305Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-02T04:14:06.305Z] GC before operation: completed in 108.010 ms, heap usage 479.414 MB -> 93.806 MB. [2026-04-02T04:14:15.360Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T04:14:21.407Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T04:14:28.826Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T04:14:36.210Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T04:14:40.080Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T04:14:43.942Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T04:14:48.795Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T04:14:52.678Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T04:14:52.678Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T04:14:52.678Z] The best model improves the baseline by 14.52%. [2026-04-02T04:14:53.039Z] Top recommended movies for user id 72: [2026-04-02T04:14:53.039Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T04:14:53.039Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T04:14:53.039Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T04:14:53.039Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T04:14:53.039Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T04:14:53.039Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (46619.999 ms) ====== [2026-04-02T04:14:53.039Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-02T04:14:53.039Z] GC before operation: completed in 108.322 ms, heap usage 287.327 MB -> 90.199 MB. [2026-04-02T04:15:02.102Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T04:15:09.462Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T04:15:16.911Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T04:15:24.304Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T04:15:27.335Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T04:15:31.251Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T04:15:36.119Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T04:15:40.060Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T04:15:40.060Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T04:15:40.060Z] The best model improves the baseline by 14.52%. [2026-04-02T04:15:40.416Z] Top recommended movies for user id 72: [2026-04-02T04:15:40.416Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T04:15:40.416Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T04:15:40.416Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T04:15:40.416Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T04:15:40.416Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T04:15:40.416Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (47202.825 ms) ====== [2026-04-02T04:15:40.416Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-02T04:15:40.416Z] GC before operation: completed in 106.124 ms, heap usage 278.213 MB -> 94.023 MB. [2026-04-02T04:15:47.818Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T04:15:55.208Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T04:16:02.582Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T04:16:08.602Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T04:16:12.481Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T04:16:16.369Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T04:16:21.211Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T04:16:25.232Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T04:16:25.232Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T04:16:25.232Z] The best model improves the baseline by 14.52%. [2026-04-02T04:16:25.232Z] Top recommended movies for user id 72: [2026-04-02T04:16:25.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T04:16:25.232Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T04:16:25.232Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T04:16:25.232Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T04:16:25.232Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T04:16:25.232Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (44855.905 ms) ====== [2026-04-02T04:16:25.232Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-02T04:16:25.602Z] GC before operation: completed in 112.740 ms, heap usage 482.498 MB -> 90.351 MB. [2026-04-02T04:16:34.683Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T04:16:40.800Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T04:16:49.826Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T04:16:55.850Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T04:16:59.722Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T04:17:03.589Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T04:17:08.465Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T04:17:12.337Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T04:17:12.797Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T04:17:12.797Z] The best model improves the baseline by 14.52%. [2026-04-02T04:17:13.156Z] Top recommended movies for user id 72: [2026-04-02T04:17:13.156Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T04:17:13.156Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T04:17:13.156Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T04:17:13.156Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T04:17:13.156Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T04:17:13.156Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (47452.887 ms) ====== [2026-04-02T04:17:13.156Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-02T04:17:13.156Z] GC before operation: completed in 115.486 ms, heap usage 136.782 MB -> 93.381 MB. [2026-04-02T04:17:22.197Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T04:17:28.222Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T04:17:37.266Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T04:17:43.296Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T04:17:47.148Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T04:17:51.022Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T04:17:55.873Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T04:17:59.753Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T04:17:59.753Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T04:17:59.753Z] The best model improves the baseline by 14.52%. [2026-04-02T04:18:00.116Z] Top recommended movies for user id 72: [2026-04-02T04:18:00.116Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T04:18:00.116Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T04:18:00.116Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T04:18:00.116Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T04:18:00.116Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T04:18:00.116Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (47005.458 ms) ====== [2026-04-02T04:18:00.116Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-02T04:18:00.116Z] GC before operation: completed in 106.439 ms, heap usage 165.589 MB -> 93.486 MB. [2026-04-02T04:18:07.506Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T04:18:14.917Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T04:18:22.308Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T04:18:29.681Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T04:18:33.580Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T04:18:37.437Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T04:18:42.280Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T04:18:46.122Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T04:18:46.123Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T04:18:46.123Z] The best model improves the baseline by 14.52%. [2026-04-02T04:18:46.475Z] Top recommended movies for user id 72: [2026-04-02T04:18:46.475Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T04:18:46.475Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T04:18:46.475Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T04:18:46.475Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T04:18:46.475Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T04:18:46.475Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (46398.127 ms) ====== [2026-04-02T04:18:46.475Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-02T04:18:46.475Z] GC before operation: completed in 114.430 ms, heap usage 155.617 MB -> 92.345 MB. [2026-04-02T04:18:53.858Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T04:19:01.280Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T04:19:08.714Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T04:19:16.084Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T04:19:19.957Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T04:19:23.832Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T04:19:27.743Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T04:19:31.649Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T04:19:32.001Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T04:19:32.001Z] The best model improves the baseline by 14.52%. [2026-04-02T04:19:32.353Z] Top recommended movies for user id 72: [2026-04-02T04:19:32.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T04:19:32.353Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T04:19:32.353Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T04:19:32.353Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T04:19:32.353Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T04:19:32.353Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (45708.390 ms) ====== [2026-04-02T04:19:32.353Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-02T04:19:32.353Z] GC before operation: completed in 111.125 ms, heap usage 142.034 MB -> 92.475 MB. [2026-04-02T04:19:39.748Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T04:19:47.159Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T04:19:54.552Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T04:20:00.549Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T04:20:04.402Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T04:20:08.277Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T04:20:13.116Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T04:20:16.157Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T04:20:17.009Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T04:20:17.009Z] The best model improves the baseline by 14.52%. [2026-04-02T04:20:17.369Z] Top recommended movies for user id 72: [2026-04-02T04:20:17.369Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T04:20:17.369Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T04:20:17.369Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T04:20:17.369Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T04:20:17.369Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T04:20:17.369Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (44652.838 ms) ====== [2026-04-02T04:20:17.369Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-02T04:20:17.369Z] GC before operation: completed in 112.490 ms, heap usage 272.039 MB -> 90.370 MB. [2026-04-02T04:20:26.431Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T04:20:32.448Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T04:20:41.463Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T04:20:47.469Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T04:20:51.336Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T04:20:56.193Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T04:21:00.074Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T04:21:03.965Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T04:21:04.314Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T04:21:04.314Z] The best model improves the baseline by 14.52%. [2026-04-02T04:21:04.666Z] Top recommended movies for user id 72: [2026-04-02T04:21:04.666Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T04:21:04.666Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T04:21:04.666Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T04:21:04.666Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T04:21:04.666Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T04:21:04.666Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (47447.453 ms) ====== [2026-04-02T04:21:04.666Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-02T04:21:04.666Z] GC before operation: completed in 103.909 ms, heap usage 243.675 MB -> 90.337 MB. [2026-04-02T04:21:12.027Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T04:21:18.048Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T04:21:27.068Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T04:21:33.107Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T04:21:36.953Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T04:21:40.001Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T04:21:44.926Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T04:21:47.961Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T04:21:48.806Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T04:21:48.807Z] The best model improves the baseline by 14.52%. [2026-04-02T04:21:48.807Z] Top recommended movies for user id 72: [2026-04-02T04:21:48.807Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T04:21:48.807Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T04:21:48.807Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T04:21:48.807Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T04:21:48.807Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T04:21:48.807Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (44115.964 ms) ====== [2026-04-02T04:21:48.807Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-02T04:21:49.202Z] GC before operation: completed in 124.114 ms, heap usage 473.662 MB -> 90.550 MB. [2026-04-02T04:21:56.589Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T04:22:04.017Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T04:22:11.440Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T04:22:17.439Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T04:22:21.303Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T04:22:25.167Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T04:22:29.045Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T04:22:33.912Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T04:22:33.912Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T04:22:33.912Z] The best model improves the baseline by 14.52%. [2026-04-02T04:22:34.320Z] Top recommended movies for user id 72: [2026-04-02T04:22:34.320Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T04:22:34.320Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T04:22:34.320Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T04:22:34.320Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T04:22:34.320Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T04:22:34.320Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (45107.085 ms) ====== [2026-04-02T04:22:34.320Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-02T04:22:34.320Z] GC before operation: completed in 113.110 ms, heap usage 195.278 MB -> 91.488 MB. [2026-04-02T04:22:43.369Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T04:22:49.397Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T04:22:56.792Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T04:23:04.216Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T04:23:08.069Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T04:23:11.937Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T04:23:16.787Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T04:23:20.654Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T04:23:20.654Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T04:23:20.654Z] The best model improves the baseline by 14.52%. [2026-04-02T04:23:21.029Z] Top recommended movies for user id 72: [2026-04-02T04:23:21.029Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T04:23:21.029Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T04:23:21.029Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T04:23:21.029Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T04:23:21.029Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T04:23:21.029Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (46662.068 ms) ====== [2026-04-02T04:23:21.381Z] ----------------------------------- [2026-04-02T04:23:21.381Z] renaissance-movie-lens_0_PASSED [2026-04-02T04:23:21.381Z] ----------------------------------- [2026-04-02T04:23:22.117Z] [2026-04-02T04:23:22.117Z] TEST TEARDOWN: [2026-04-02T04:23:22.117Z] Nothing to be done for teardown. [2026-04-02T04:23:22.117Z] renaissance-movie-lens_0 Finish Time: Thu Apr 2 04:23:21 2026 Epoch Time (ms): 1775103801937