[2026-01-21T15:40:32.367Z] Running test renaissance-movie-lens_0 ... [2026-01-21T15:40:32.367Z] =============================================== [2026-01-21T15:40:32.367Z] renaissance-movie-lens_0 Start Time: Wed Jan 21 15:40:31 2026 Epoch Time (ms): 1769010031692 [2026-01-21T15:40:32.367Z] variation: NoOptions [2026-01-21T15:40:32.367Z] JVM_OPTIONS: [2026-01-21T15:40:32.367Z] { \ [2026-01-21T15:40:32.367Z] echo ""; echo "TEST SETUP:"; \ [2026-01-21T15:40:32.367Z] echo "Nothing to be done for setup."; \ [2026-01-21T15:40:32.367Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17690091492703/renaissance-movie-lens_0"; \ [2026-01-21T15:40:32.367Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17690091492703/renaissance-movie-lens_0"; \ [2026-01-21T15:40:32.367Z] echo ""; echo "TESTING:"; \ [2026-01-21T15:40:32.367Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_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_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17690091492703/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-21T15:40:32.367Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17690091492703/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-21T15:40:32.367Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-21T15:40:32.367Z] echo "Nothing to be done for teardown."; \ [2026-01-21T15:40:32.367Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17690091492703/TestTargetResult"; [2026-01-21T15:40:32.367Z] [2026-01-21T15:40:32.367Z] TEST SETUP: [2026-01-21T15:40:32.367Z] Nothing to be done for setup. [2026-01-21T15:40:32.367Z] [2026-01-21T15:40:32.367Z] TESTING: [2026-01-21T15:40:38.392Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-21T15:40:46.521Z] 15:40:45.745 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-21T15:40:48.933Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-21T15:40:49.683Z] Training: 60056, validation: 20285, test: 19854 [2026-01-21T15:40:49.683Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-21T15:40:49.684Z] GC before operation: completed in 138.522 ms, heap usage 163.893 MB -> 74.348 MB. [2026-01-21T15:40:57.950Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T15:41:02.343Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T15:41:06.720Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T15:41:11.081Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T15:41:13.504Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T15:41:15.573Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T15:41:17.128Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T15:41:19.542Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T15:41:20.295Z] 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. [2026-01-21T15:41:20.295Z] The best model improves the baseline by 14.52%. [2026-01-21T15:41:20.295Z] Top recommended movies for user id 72: [2026-01-21T15:41:20.295Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T15:41:20.295Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T15:41:20.295Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T15:41:20.295Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T15:41:20.295Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T15:41:20.295Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30936.183 ms) ====== [2026-01-21T15:41:20.295Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-21T15:41:21.049Z] GC before operation: completed in 163.433 ms, heap usage 209.304 MB -> 85.365 MB. [2026-01-21T15:41:24.404Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T15:41:28.765Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T15:41:32.116Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T15:41:35.461Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T15:41:37.014Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T15:41:39.434Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T15:41:41.845Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T15:41:43.392Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T15:41:44.141Z] 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. [2026-01-21T15:41:44.141Z] The best model improves the baseline by 14.52%. [2026-01-21T15:41:44.141Z] Top recommended movies for user id 72: [2026-01-21T15:41:44.141Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T15:41:44.141Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T15:41:44.141Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T15:41:44.141Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T15:41:44.141Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T15:41:44.141Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23490.367 ms) ====== [2026-01-21T15:41:44.141Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-21T15:41:44.141Z] GC before operation: completed in 155.659 ms, heap usage 164.218 MB -> 87.409 MB. [2026-01-21T15:41:47.481Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T15:41:50.837Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T15:41:55.203Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T15:41:57.621Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T15:42:00.033Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T15:42:02.085Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T15:42:03.639Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T15:42:06.052Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T15:42:06.052Z] 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. [2026-01-21T15:42:06.052Z] The best model improves the baseline by 14.52%. [2026-01-21T15:42:06.802Z] Top recommended movies for user id 72: [2026-01-21T15:42:06.802Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T15:42:06.802Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T15:42:06.802Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T15:42:06.802Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T15:42:06.802Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T15:42:06.802Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22123.735 ms) ====== [2026-01-21T15:42:06.802Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-21T15:42:06.802Z] GC before operation: completed in 161.024 ms, heap usage 126.687 MB -> 87.968 MB. [2026-01-21T15:42:10.151Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T15:42:13.508Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T15:42:16.865Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T15:42:20.215Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T15:42:21.776Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T15:42:24.188Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T15:42:25.752Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T15:42:28.170Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T15:42:28.170Z] 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. [2026-01-21T15:42:28.170Z] The best model improves the baseline by 14.52%. [2026-01-21T15:42:28.170Z] Top recommended movies for user id 72: [2026-01-21T15:42:28.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T15:42:28.171Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T15:42:28.171Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T15:42:28.171Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T15:42:28.171Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T15:42:28.171Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21554.615 ms) ====== [2026-01-21T15:42:28.171Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-21T15:42:28.171Z] GC before operation: completed in 157.950 ms, heap usage 214.302 MB -> 88.361 MB. [2026-01-21T15:42:31.522Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T15:42:34.860Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T15:42:38.219Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T15:42:41.574Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T15:42:43.991Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T15:42:45.536Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T15:42:48.439Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T15:42:49.991Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T15:42:49.991Z] 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. [2026-01-21T15:42:49.991Z] The best model improves the baseline by 14.52%. [2026-01-21T15:42:49.991Z] Top recommended movies for user id 72: [2026-01-21T15:42:49.991Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T15:42:49.991Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T15:42:49.991Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T15:42:49.991Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T15:42:49.991Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T15:42:49.991Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21763.543 ms) ====== [2026-01-21T15:42:49.991Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-21T15:42:49.991Z] GC before operation: completed in 151.143 ms, heap usage 117.286 MB -> 88.209 MB. [2026-01-21T15:42:53.335Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T15:42:56.691Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T15:43:03.103Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T15:43:05.528Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T15:43:07.941Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T15:43:09.496Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T15:43:11.917Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T15:43:13.767Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T15:43:14.515Z] 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. [2026-01-21T15:43:14.515Z] The best model improves the baseline by 14.52%. [2026-01-21T15:43:14.515Z] Top recommended movies for user id 72: [2026-01-21T15:43:14.515Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T15:43:14.515Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T15:43:14.515Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T15:43:14.515Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T15:43:14.515Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T15:43:14.515Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (23984.642 ms) ====== [2026-01-21T15:43:14.515Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-21T15:43:14.515Z] GC before operation: completed in 154.862 ms, heap usage 214.953 MB -> 88.602 MB. [2026-01-21T15:43:17.869Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T15:43:21.312Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T15:43:24.660Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T15:43:28.012Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T15:43:30.424Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T15:43:32.840Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T15:43:35.259Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T15:43:37.323Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T15:43:37.323Z] 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. [2026-01-21T15:43:37.323Z] The best model improves the baseline by 14.52%. [2026-01-21T15:43:37.323Z] Top recommended movies for user id 72: [2026-01-21T15:43:37.323Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T15:43:37.323Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T15:43:37.323Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T15:43:37.323Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T15:43:37.323Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T15:43:37.323Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (23157.107 ms) ====== [2026-01-21T15:43:37.323Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-21T15:43:38.077Z] GC before operation: completed in 159.448 ms, heap usage 273.120 MB -> 88.679 MB. [2026-01-21T15:43:40.490Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T15:43:43.836Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T15:43:47.182Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T15:43:50.533Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T15:43:52.081Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T15:43:53.631Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T15:43:56.056Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T15:43:57.610Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T15:43:57.610Z] 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. [2026-01-21T15:43:57.610Z] The best model improves the baseline by 14.52%. [2026-01-21T15:43:58.359Z] Top recommended movies for user id 72: [2026-01-21T15:43:58.359Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T15:43:58.359Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T15:43:58.359Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T15:43:58.359Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T15:43:58.359Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T15:43:58.359Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20355.240 ms) ====== [2026-01-21T15:43:58.359Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-21T15:43:58.359Z] GC before operation: completed in 148.521 ms, heap usage 304.125 MB -> 88.937 MB. [2026-01-21T15:44:01.711Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T15:44:04.124Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T15:44:07.476Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T15:44:09.899Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T15:44:12.313Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T15:44:13.865Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T15:44:16.290Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T15:44:17.845Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T15:44:17.845Z] 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. [2026-01-21T15:44:17.845Z] The best model improves the baseline by 14.52%. [2026-01-21T15:44:18.595Z] Top recommended movies for user id 72: [2026-01-21T15:44:18.595Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T15:44:18.595Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T15:44:18.595Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T15:44:18.595Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T15:44:18.595Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T15:44:18.595Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20128.251 ms) ====== [2026-01-21T15:44:18.595Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-21T15:44:18.595Z] GC before operation: completed in 184.431 ms, heap usage 282.335 MB -> 88.737 MB. [2026-01-21T15:44:21.964Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T15:44:24.383Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T15:44:27.933Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T15:44:31.288Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T15:44:32.841Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T15:44:34.393Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T15:44:36.835Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T15:44:38.397Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T15:44:38.397Z] 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. [2026-01-21T15:44:38.397Z] The best model improves the baseline by 14.52%. [2026-01-21T15:44:38.397Z] Top recommended movies for user id 72: [2026-01-21T15:44:38.397Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T15:44:38.397Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T15:44:38.397Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T15:44:38.397Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T15:44:38.397Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T15:44:38.397Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20225.657 ms) ====== [2026-01-21T15:44:38.397Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-21T15:44:39.144Z] GC before operation: completed in 147.840 ms, heap usage 264.380 MB -> 88.938 MB. [2026-01-21T15:44:41.559Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T15:44:44.901Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T15:44:48.255Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T15:44:50.665Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T15:44:53.085Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T15:44:54.641Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T15:44:57.050Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T15:44:58.602Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T15:44:58.602Z] 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. [2026-01-21T15:44:58.602Z] The best model improves the baseline by 14.52%. [2026-01-21T15:44:59.361Z] Top recommended movies for user id 72: [2026-01-21T15:44:59.361Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T15:44:59.361Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T15:44:59.361Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T15:44:59.361Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T15:44:59.361Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T15:44:59.361Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20166.208 ms) ====== [2026-01-21T15:44:59.361Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-21T15:44:59.361Z] GC before operation: completed in 150.040 ms, heap usage 122.977 MB -> 88.462 MB. [2026-01-21T15:45:02.701Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T15:45:05.107Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T15:45:09.467Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T15:45:12.377Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T15:45:13.925Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T15:45:16.334Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T15:45:17.883Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T15:45:20.296Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T15:45:20.296Z] 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. [2026-01-21T15:45:20.296Z] The best model improves the baseline by 14.52%. [2026-01-21T15:45:20.296Z] Top recommended movies for user id 72: [2026-01-21T15:45:20.296Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T15:45:20.296Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T15:45:20.296Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T15:45:20.296Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T15:45:20.296Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T15:45:20.296Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21021.968 ms) ====== [2026-01-21T15:45:20.296Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-21T15:45:20.296Z] GC before operation: completed in 148.160 ms, heap usage 268.203 MB -> 88.897 MB. [2026-01-21T15:45:23.642Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T15:45:26.984Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T15:45:29.392Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T15:45:32.843Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T15:45:34.393Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T15:45:36.813Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T15:45:38.365Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T15:45:40.786Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T15:45:40.786Z] 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. [2026-01-21T15:45:40.786Z] The best model improves the baseline by 14.52%. [2026-01-21T15:45:40.786Z] Top recommended movies for user id 72: [2026-01-21T15:45:40.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T15:45:40.786Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T15:45:40.786Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T15:45:40.786Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T15:45:40.786Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T15:45:40.786Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20467.678 ms) ====== [2026-01-21T15:45:40.786Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-21T15:45:40.786Z] GC before operation: completed in 145.183 ms, heap usage 168.104 MB -> 88.886 MB. [2026-01-21T15:45:44.138Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T15:45:47.550Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T15:45:50.943Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T15:45:54.413Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T15:45:55.970Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T15:45:58.108Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T15:45:59.661Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T15:46:01.207Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T15:46:01.963Z] 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. [2026-01-21T15:46:01.963Z] The best model improves the baseline by 14.52%. [2026-01-21T15:46:01.963Z] Top recommended movies for user id 72: [2026-01-21T15:46:01.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T15:46:01.963Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T15:46:01.963Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T15:46:01.963Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T15:46:01.963Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T15:46:01.963Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20985.556 ms) ====== [2026-01-21T15:46:01.963Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-21T15:46:01.963Z] GC before operation: completed in 142.381 ms, heap usage 108.967 MB -> 88.569 MB. [2026-01-21T15:46:05.309Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T15:46:07.724Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T15:46:11.083Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T15:46:14.428Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T15:46:15.984Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T15:46:18.410Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T15:46:19.971Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T15:46:21.526Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T15:46:22.276Z] 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. [2026-01-21T15:46:22.276Z] The best model improves the baseline by 14.52%. [2026-01-21T15:46:22.276Z] Top recommended movies for user id 72: [2026-01-21T15:46:22.276Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T15:46:22.276Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T15:46:22.276Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T15:46:22.276Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T15:46:22.276Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T15:46:22.276Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20107.961 ms) ====== [2026-01-21T15:46:22.276Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-21T15:46:22.276Z] GC before operation: completed in 144.938 ms, heap usage 125.837 MB -> 88.801 MB. [2026-01-21T15:46:25.629Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T15:46:28.988Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T15:46:32.338Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T15:46:36.830Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T15:46:38.384Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T15:46:39.935Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T15:46:42.352Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T15:46:44.128Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T15:46:44.128Z] 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. [2026-01-21T15:46:44.128Z] The best model improves the baseline by 14.52%. [2026-01-21T15:46:44.128Z] Top recommended movies for user id 72: [2026-01-21T15:46:44.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T15:46:44.128Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T15:46:44.128Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T15:46:44.128Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T15:46:44.128Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T15:46:44.128Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21841.766 ms) ====== [2026-01-21T15:46:44.128Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-21T15:46:44.128Z] GC before operation: completed in 148.951 ms, heap usage 282.048 MB -> 88.869 MB. [2026-01-21T15:46:47.471Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T15:46:49.887Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T15:46:53.241Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T15:46:56.582Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T15:46:58.144Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T15:47:00.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T15:47:02.102Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T15:47:03.651Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T15:47:04.402Z] 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. [2026-01-21T15:47:04.402Z] The best model improves the baseline by 14.52%. [2026-01-21T15:47:04.402Z] Top recommended movies for user id 72: [2026-01-21T15:47:04.402Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T15:47:04.402Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T15:47:04.402Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T15:47:04.402Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T15:47:04.402Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T15:47:04.402Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20003.292 ms) ====== [2026-01-21T15:47:04.402Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-21T15:47:04.402Z] GC before operation: completed in 139.823 ms, heap usage 204.201 MB -> 88.847 MB. [2026-01-21T15:47:07.748Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T15:47:10.174Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T15:47:13.517Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T15:47:16.865Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T15:47:18.422Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T15:47:20.843Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T15:47:22.398Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T15:47:23.946Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T15:47:24.701Z] 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. [2026-01-21T15:47:24.701Z] The best model improves the baseline by 14.52%. [2026-01-21T15:47:24.701Z] Top recommended movies for user id 72: [2026-01-21T15:47:24.701Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T15:47:24.701Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T15:47:24.701Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T15:47:24.701Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T15:47:24.701Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T15:47:24.701Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20184.610 ms) ====== [2026-01-21T15:47:24.701Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-21T15:47:24.701Z] GC before operation: completed in 144.013 ms, heap usage 198.842 MB -> 88.675 MB. [2026-01-21T15:47:28.147Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T15:47:30.567Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T15:47:34.235Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T15:47:36.646Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T15:47:39.060Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T15:47:40.614Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T15:47:42.170Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T15:47:44.584Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T15:47:44.584Z] 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. [2026-01-21T15:47:44.584Z] The best model improves the baseline by 14.52%. [2026-01-21T15:47:44.584Z] Top recommended movies for user id 72: [2026-01-21T15:47:44.584Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T15:47:44.584Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T15:47:44.584Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T15:47:44.584Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T15:47:44.584Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T15:47:44.584Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19856.978 ms) ====== [2026-01-21T15:47:44.584Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-21T15:47:44.584Z] GC before operation: completed in 147.052 ms, heap usage 233.637 MB -> 88.794 MB. [2026-01-21T15:47:47.932Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T15:47:50.349Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T15:47:53.705Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T15:47:57.053Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T15:47:58.601Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T15:48:00.258Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T15:48:02.673Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T15:48:04.233Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T15:48:04.233Z] 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. [2026-01-21T15:48:04.233Z] The best model improves the baseline by 14.52%. [2026-01-21T15:48:04.981Z] Top recommended movies for user id 72: [2026-01-21T15:48:04.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T15:48:04.981Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T15:48:04.981Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T15:48:04.981Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T15:48:04.981Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T15:48:04.981Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19852.464 ms) ====== [2026-01-21T15:48:04.981Z] ----------------------------------- [2026-01-21T15:48:04.981Z] renaissance-movie-lens_0_PASSED [2026-01-21T15:48:04.981Z] ----------------------------------- [2026-01-21T15:48:04.981Z] [2026-01-21T15:48:04.981Z] TEST TEARDOWN: [2026-01-21T15:48:04.981Z] Nothing to be done for teardown. [2026-01-21T15:48:04.981Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 15:48:04 2026 Epoch Time (ms): 1769010484771