[2026-03-04T22:33:31.893Z] Running test renaissance-movie-lens_0 ... [2026-03-04T22:33:31.893Z] =============================================== [2026-03-04T22:33:31.893Z] renaissance-movie-lens_0 Start Time: Wed Mar 4 22:33:30 2026 Epoch Time (ms): 1772663610886 [2026-03-04T22:33:31.893Z] variation: NoOptions [2026-03-04T22:33:31.893Z] JVM_OPTIONS: [2026-03-04T22:33:31.893Z] { \ [2026-03-04T22:33:31.893Z] echo ""; echo "TEST SETUP:"; \ [2026-03-04T22:33:31.893Z] echo "Nothing to be done for setup."; \ [2026-03-04T22:33:31.893Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17726622963519/renaissance-movie-lens_0"; \ [2026-03-04T22:33:31.893Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17726622963519/renaissance-movie-lens_0"; \ [2026-03-04T22:33:31.893Z] echo ""; echo "TESTING:"; \ [2026-03-04T22:33:31.893Z] "/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_17726622963519/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-04T22:33:31.893Z] 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_17726622963519/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-04T22:33:31.893Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-04T22:33:31.893Z] echo "Nothing to be done for teardown."; \ [2026-03-04T22:33:31.893Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17726622963519/TestTargetResult"; [2026-03-04T22:33:31.893Z] [2026-03-04T22:33:31.893Z] TEST SETUP: [2026-03-04T22:33:31.894Z] Nothing to be done for setup. [2026-03-04T22:33:31.894Z] [2026-03-04T22:33:31.894Z] TESTING: [2026-03-04T22:33:40.401Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-04T22:33:50.349Z] 22:33:49.498 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-04T22:33:53.520Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-04T22:33:53.520Z] Training: 60056, validation: 20285, test: 19854 [2026-03-04T22:33:53.520Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-04T22:33:53.520Z] GC before operation: completed in 151.425 ms, heap usage 491.280 MB -> 76.125 MB. [2026-03-04T22:34:03.445Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:34:10.332Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:34:15.800Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:34:20.024Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:34:23.843Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:34:25.857Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:34:28.985Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:34:30.991Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:34:31.952Z] 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. [2026-03-04T22:34:31.952Z] The best model improves the baseline by 14.52%. [2026-03-04T22:34:31.952Z] Top recommended movies for user id 72: [2026-03-04T22:34:31.952Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:34:31.952Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:34:31.952Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:34:31.952Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:34:31.952Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:34:31.952Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (38372.411 ms) ====== [2026-03-04T22:34:31.952Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-04T22:34:31.952Z] GC before operation: completed in 227.381 ms, heap usage 101.303 MB -> 90.686 MB. [2026-03-04T22:34:37.423Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:34:41.647Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:34:45.881Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:34:50.144Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:34:52.216Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:34:55.300Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:34:58.371Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:35:00.350Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:35:00.350Z] 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. [2026-03-04T22:35:01.321Z] The best model improves the baseline by 14.52%. [2026-03-04T22:35:01.321Z] Top recommended movies for user id 72: [2026-03-04T22:35:01.321Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:35:01.321Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:35:01.321Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:35:01.321Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:35:01.321Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:35:01.321Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (28692.956 ms) ====== [2026-03-04T22:35:01.321Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-04T22:35:01.321Z] GC before operation: completed in 232.699 ms, heap usage 226.763 MB -> 88.778 MB. [2026-03-04T22:35:05.543Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:35:10.503Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:35:14.799Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:35:17.897Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:35:20.994Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:35:23.001Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:35:25.010Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:35:27.030Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:35:27.999Z] 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. [2026-03-04T22:35:27.999Z] The best model improves the baseline by 14.52%. [2026-03-04T22:35:27.999Z] Top recommended movies for user id 72: [2026-03-04T22:35:27.999Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:35:27.999Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:35:27.999Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:35:27.999Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:35:27.999Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:35:27.999Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (26735.681 ms) ====== [2026-03-04T22:35:27.999Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-04T22:35:27.999Z] GC before operation: completed in 195.863 ms, heap usage 682.280 MB -> 93.161 MB. [2026-03-04T22:35:32.237Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:35:35.313Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:35:39.554Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:35:42.626Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:35:44.621Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:35:47.690Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:35:50.769Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:35:53.961Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:35:53.961Z] 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. [2026-03-04T22:35:53.961Z] The best model improves the baseline by 14.52%. [2026-03-04T22:35:55.634Z] Top recommended movies for user id 72: [2026-03-04T22:35:55.634Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:35:55.634Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:35:55.634Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:35:55.634Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:35:55.634Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:35:55.634Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (26173.271 ms) ====== [2026-03-04T22:35:55.634Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-04T22:35:55.634Z] GC before operation: completed in 176.117 ms, heap usage 367.630 MB -> 89.748 MB. [2026-03-04T22:35:58.735Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:36:03.050Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:36:07.505Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:36:10.686Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:36:12.705Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:36:14.719Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:36:16.714Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:36:18.698Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:36:19.710Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T22:36:19.710Z] The best model improves the baseline by 14.52%. [2026-03-04T22:36:19.710Z] Top recommended movies for user id 72: [2026-03-04T22:36:19.710Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:36:19.710Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:36:19.710Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:36:19.710Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:36:19.710Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:36:19.710Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24854.977 ms) ====== [2026-03-04T22:36:19.710Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-04T22:36:19.710Z] GC before operation: completed in 208.066 ms, heap usage 433.699 MB -> 89.810 MB. [2026-03-04T22:36:23.936Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:36:27.020Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:36:30.093Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:36:33.153Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:36:35.143Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:36:37.146Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:36:40.410Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:36:42.406Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:36:42.406Z] 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. [2026-03-04T22:36:42.406Z] The best model improves the baseline by 14.52%. [2026-03-04T22:36:42.406Z] Top recommended movies for user id 72: [2026-03-04T22:36:42.406Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:36:42.406Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:36:42.406Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:36:42.406Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:36:42.406Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:36:42.406Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22980.923 ms) ====== [2026-03-04T22:36:42.406Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-04T22:36:43.378Z] GC before operation: completed in 212.770 ms, heap usage 123.151 MB -> 89.794 MB. [2026-03-04T22:36:46.454Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:36:50.241Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:36:53.334Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:36:57.553Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:36:59.541Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:37:01.525Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:37:03.514Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:37:05.532Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:37:05.532Z] 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. [2026-03-04T22:37:05.532Z] The best model improves the baseline by 14.52%. [2026-03-04T22:37:06.528Z] Top recommended movies for user id 72: [2026-03-04T22:37:06.528Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:37:06.528Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:37:06.528Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:37:06.528Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:37:06.528Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:37:06.528Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (23284.780 ms) ====== [2026-03-04T22:37:06.528Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-04T22:37:06.528Z] GC before operation: completed in 208.833 ms, heap usage 199.396 MB -> 89.775 MB. [2026-03-04T22:37:10.733Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:37:14.957Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:37:18.030Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:37:21.082Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:37:23.062Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:37:25.055Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:37:27.034Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:37:29.017Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:37:29.017Z] 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. [2026-03-04T22:37:29.017Z] The best model improves the baseline by 14.52%. [2026-03-04T22:37:29.017Z] Top recommended movies for user id 72: [2026-03-04T22:37:29.017Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:37:29.017Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:37:29.017Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:37:29.017Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:37:29.017Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:37:29.017Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (22833.081 ms) ====== [2026-03-04T22:37:29.017Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-04T22:37:29.017Z] GC before operation: completed in 193.870 ms, heap usage 464.787 MB -> 90.404 MB. [2026-03-04T22:37:33.241Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:37:35.934Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:37:39.004Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:37:42.075Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:37:44.062Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:37:46.066Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:37:48.052Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:37:50.061Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:37:50.061Z] 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. [2026-03-04T22:37:50.061Z] The best model improves the baseline by 14.52%. [2026-03-04T22:37:50.061Z] Top recommended movies for user id 72: [2026-03-04T22:37:50.061Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:37:50.061Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:37:50.061Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:37:50.061Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:37:50.061Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:37:50.061Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20735.286 ms) ====== [2026-03-04T22:37:50.061Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-04T22:37:50.061Z] GC before operation: completed in 188.362 ms, heap usage 193.068 MB -> 89.962 MB. [2026-03-04T22:37:53.307Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:37:56.428Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:37:59.496Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:38:02.609Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:38:04.606Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:38:06.615Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:38:08.617Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:38:10.667Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:38:10.667Z] 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. [2026-03-04T22:38:10.667Z] The best model improves the baseline by 14.52%. [2026-03-04T22:38:11.638Z] Top recommended movies for user id 72: [2026-03-04T22:38:11.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:38:11.638Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:38:11.638Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:38:11.638Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:38:11.638Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:38:11.638Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20928.398 ms) ====== [2026-03-04T22:38:11.638Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-04T22:38:11.638Z] GC before operation: completed in 201.917 ms, heap usage 384.666 MB -> 90.389 MB. [2026-03-04T22:38:16.802Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:38:18.788Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:38:21.839Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:38:24.890Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:38:27.597Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:38:29.598Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:38:31.606Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:38:33.613Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:38:33.614Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T22:38:33.614Z] The best model improves the baseline by 14.52%. [2026-03-04T22:38:34.577Z] Top recommended movies for user id 72: [2026-03-04T22:38:34.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:38:34.577Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:38:34.577Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:38:34.577Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:38:34.577Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:38:34.577Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22622.219 ms) ====== [2026-03-04T22:38:34.577Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-04T22:38:34.577Z] GC before operation: completed in 169.110 ms, heap usage 535.770 MB -> 93.625 MB. [2026-03-04T22:38:37.645Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:38:40.711Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:38:44.938Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:38:47.993Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:38:49.975Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:38:52.010Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:38:54.085Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:38:55.055Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:38:56.026Z] 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. [2026-03-04T22:38:56.026Z] The best model improves the baseline by 14.52%. [2026-03-04T22:38:56.026Z] Top recommended movies for user id 72: [2026-03-04T22:38:56.026Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:38:56.026Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:38:56.026Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:38:56.026Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:38:56.026Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:38:56.026Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21807.162 ms) ====== [2026-03-04T22:38:56.026Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-04T22:38:56.026Z] GC before operation: completed in 174.478 ms, heap usage 249.298 MB -> 90.170 MB. [2026-03-04T22:38:59.092Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:39:02.156Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:39:05.215Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:39:08.285Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:39:10.264Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:39:12.248Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:39:14.284Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:39:16.753Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:39:16.753Z] 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. [2026-03-04T22:39:16.753Z] The best model improves the baseline by 14.52%. [2026-03-04T22:39:16.753Z] Top recommended movies for user id 72: [2026-03-04T22:39:16.753Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:39:16.753Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:39:16.753Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:39:16.753Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:39:16.753Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:39:16.753Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20537.449 ms) ====== [2026-03-04T22:39:16.753Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-04T22:39:16.753Z] GC before operation: completed in 173.505 ms, heap usage 165.179 MB -> 90.175 MB. [2026-03-04T22:39:19.828Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:39:22.896Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:39:27.126Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:39:30.417Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:39:31.391Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:39:33.372Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:39:35.367Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:39:37.348Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:39:38.340Z] 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. [2026-03-04T22:39:38.340Z] The best model improves the baseline by 14.52%. [2026-03-04T22:39:38.340Z] Top recommended movies for user id 72: [2026-03-04T22:39:38.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:39:38.340Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:39:38.340Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:39:38.340Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:39:38.340Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:39:38.340Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21195.343 ms) ====== [2026-03-04T22:39:38.340Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-04T22:39:38.340Z] GC before operation: completed in 179.860 ms, heap usage 307.120 MB -> 90.248 MB. [2026-03-04T22:39:41.409Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:39:44.637Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:39:48.904Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:39:51.975Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:39:53.967Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:39:55.958Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:39:57.937Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:39:59.934Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:39:59.934Z] 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. [2026-03-04T22:39:59.934Z] The best model improves the baseline by 14.52%. [2026-03-04T22:39:59.934Z] Top recommended movies for user id 72: [2026-03-04T22:39:59.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:39:59.934Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:39:59.934Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:39:59.934Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:39:59.934Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:39:59.934Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21781.377 ms) ====== [2026-03-04T22:39:59.934Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-04T22:39:59.934Z] GC before operation: completed in 192.130 ms, heap usage 549.873 MB -> 93.981 MB. [2026-03-04T22:40:07.006Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:40:07.007Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:40:10.142Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:40:13.305Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:40:15.870Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:40:18.513Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:40:20.988Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:40:23.891Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:40:23.891Z] 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. [2026-03-04T22:40:23.891Z] The best model improves the baseline by 14.52%. [2026-03-04T22:40:23.891Z] Top recommended movies for user id 72: [2026-03-04T22:40:23.891Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:40:23.891Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:40:23.891Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:40:23.891Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:40:23.891Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:40:23.891Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21902.520 ms) ====== [2026-03-04T22:40:23.891Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-04T22:40:23.891Z] GC before operation: completed in 191.140 ms, heap usage 433.365 MB -> 90.465 MB. [2026-03-04T22:40:27.041Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:40:29.973Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:40:35.008Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:40:37.391Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:40:39.550Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:40:41.783Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:40:43.892Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:40:45.556Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:40:45.556Z] 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. [2026-03-04T22:40:45.556Z] The best model improves the baseline by 14.52%. [2026-03-04T22:40:45.556Z] Top recommended movies for user id 72: [2026-03-04T22:40:45.556Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:40:45.556Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:40:45.556Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:40:45.556Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:40:45.556Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:40:45.556Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23221.395 ms) ====== [2026-03-04T22:40:45.556Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-04T22:40:45.556Z] GC before operation: completed in 186.196 ms, heap usage 289.418 MB -> 90.330 MB. [2026-03-04T22:40:50.743Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:40:57.353Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:40:57.353Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:41:00.525Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:41:05.753Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:41:05.753Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:41:05.753Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:41:10.109Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:41:10.109Z] 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. [2026-03-04T22:41:10.109Z] The best model improves the baseline by 14.52%. [2026-03-04T22:41:10.109Z] Top recommended movies for user id 72: [2026-03-04T22:41:10.109Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:41:10.109Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:41:10.109Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:41:10.109Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:41:10.109Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:41:10.109Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23377.950 ms) ====== [2026-03-04T22:41:10.109Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-04T22:41:10.109Z] GC before operation: completed in 209.377 ms, heap usage 130.992 MB -> 89.956 MB. [2026-03-04T22:41:17.288Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:41:17.288Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:41:19.698Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:41:23.908Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:41:25.944Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:41:29.300Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:41:30.446Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:41:32.683Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:41:33.944Z] 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. [2026-03-04T22:41:33.944Z] The best model improves the baseline by 14.52%. [2026-03-04T22:41:33.944Z] Top recommended movies for user id 72: [2026-03-04T22:41:33.945Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:41:33.945Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:41:33.945Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:41:33.945Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:41:33.945Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:41:33.945Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (24243.156 ms) ====== [2026-03-04T22:41:33.945Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-04T22:41:33.945Z] GC before operation: completed in 180.821 ms, heap usage 112.498 MB -> 93.415 MB. [2026-03-04T22:41:39.425Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:41:41.588Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:41:44.669Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:41:49.026Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:41:51.933Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:41:53.756Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:41:55.577Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:41:58.362Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:41:58.362Z] 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. [2026-03-04T22:41:58.362Z] The best model improves the baseline by 14.52%. [2026-03-04T22:41:58.362Z] Top recommended movies for user id 72: [2026-03-04T22:41:58.362Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:41:58.362Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:41:58.362Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:41:58.362Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:41:58.362Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:41:58.362Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (24305.425 ms) ====== [2026-03-04T22:41:59.858Z] ----------------------------------- [2026-03-04T22:41:59.858Z] renaissance-movie-lens_0_PASSED [2026-03-04T22:41:59.858Z] ----------------------------------- [2026-03-04T22:41:59.858Z] [2026-03-04T22:41:59.858Z] TEST TEARDOWN: [2026-03-04T22:41:59.858Z] Nothing to be done for teardown. [2026-03-04T22:41:59.858Z] renaissance-movie-lens_0 Finish Time: Wed Mar 4 22:41:58 2026 Epoch Time (ms): 1772664118997