[2026-02-04T23:47:56.510Z] Running test renaissance-movie-lens_0 ... [2026-02-04T23:47:56.510Z] =============================================== [2026-02-04T23:47:56.510Z] renaissance-movie-lens_0 Start Time: Wed Feb 4 23:47:56 2026 Epoch Time (ms): 1770248876468 [2026-02-04T23:47:56.862Z] variation: NoOptions [2026-02-04T23:47:56.862Z] JVM_OPTIONS: [2026-02-04T23:47:56.862Z] { \ [2026-02-04T23:47:56.862Z] echo ""; echo "TEST SETUP:"; \ [2026-02-04T23:47:56.862Z] echo "Nothing to be done for setup."; \ [2026-02-04T23:47:56.862Z] mkdir -p "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17702473026037\\renaissance-movie-lens_0"; \ [2026-02-04T23:47:56.862Z] cd "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17702473026037\\renaissance-movie-lens_0"; \ [2026-02-04T23:47:56.862Z] echo ""; echo "TESTING:"; \ [2026-02-04T23:47:56.862Z] "c:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/jdkbinary/j2sdk-image\\bin\\java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17702473026037\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-02-04T23:47:56.862Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17702473026037\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-04T23:47:56.862Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-04T23:47:56.862Z] echo "Nothing to be done for teardown."; \ [2026-02-04T23:47:56.862Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17702473026037\\TestTargetResult"; [2026-02-04T23:47:56.862Z] [2026-02-04T23:47:56.862Z] TEST SETUP: [2026-02-04T23:47:56.862Z] Nothing to be done for setup. [2026-02-04T23:47:56.862Z] [2026-02-04T23:47:56.862Z] TESTING: [2026-02-04T23:48:10.246Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-04T23:48:18.729Z] 23:48:17.803 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-04T23:48:21.528Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-04T23:48:22.002Z] Training: 60056, validation: 20285, test: 19854 [2026-02-04T23:48:22.002Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-04T23:48:22.002Z] GC before operation: completed in 189.010 ms, heap usage 277.664 MB -> 75.986 MB. [2026-02-04T23:48:34.129Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:48:40.937Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:48:49.151Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:48:54.129Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:48:57.201Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:49:00.260Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:49:04.196Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:49:07.298Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:49:07.682Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-04T23:49:07.682Z] The best model improves the baseline by 14.34%. [2026-02-04T23:49:08.225Z] Top recommended movies for user id 72: [2026-02-04T23:49:08.225Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:49:08.225Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:49:08.225Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:49:08.225Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:49:08.225Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:49:08.226Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (45782.821 ms) ====== [2026-02-04T23:49:08.226Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-04T23:49:08.226Z] GC before operation: completed in 257.901 ms, heap usage 164.953 MB -> 100.585 MB. [2026-02-04T23:49:14.393Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:49:19.299Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:49:25.696Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:49:30.731Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:49:33.828Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:49:36.970Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:49:40.273Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:49:44.496Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:49:44.496Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-04T23:49:44.496Z] The best model improves the baseline by 14.34%. [2026-02-04T23:49:45.004Z] Top recommended movies for user id 72: [2026-02-04T23:49:45.004Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:49:45.004Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:49:45.004Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:49:45.004Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:49:45.004Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:49:45.004Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (36596.852 ms) ====== [2026-02-04T23:49:45.004Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-04T23:49:45.004Z] GC before operation: completed in 195.118 ms, heap usage 219.636 MB -> 88.063 MB. [2026-02-04T23:49:51.742Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:49:56.892Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:50:02.171Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:50:08.538Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:50:11.041Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:50:14.097Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:50:17.337Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:50:20.587Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:50:20.925Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-04T23:50:20.925Z] The best model improves the baseline by 14.34%. [2026-02-04T23:50:21.407Z] Top recommended movies for user id 72: [2026-02-04T23:50:21.407Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:50:21.407Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:50:21.407Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:50:21.407Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:50:21.407Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:50:21.407Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (36213.136 ms) ====== [2026-02-04T23:50:21.407Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-04T23:50:21.407Z] GC before operation: completed in 156.925 ms, heap usage 292.456 MB -> 88.750 MB. [2026-02-04T23:50:27.963Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:50:33.158Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:50:38.218Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:50:44.401Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:50:46.898Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:50:49.959Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:50:53.163Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:50:56.419Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:50:56.777Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-04T23:50:56.777Z] The best model improves the baseline by 14.34%. [2026-02-04T23:50:57.250Z] Top recommended movies for user id 72: [2026-02-04T23:50:57.250Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:50:57.250Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:50:57.250Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:50:57.250Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:50:57.250Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:50:57.250Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (35654.814 ms) ====== [2026-02-04T23:50:57.250Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-04T23:50:57.250Z] GC before operation: completed in 183.363 ms, heap usage 290.961 MB -> 89.060 MB. [2026-02-04T23:51:03.565Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:51:08.943Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:51:13.996Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:51:18.906Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:51:21.955Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:51:25.001Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:51:28.054Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:51:30.380Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:51:31.317Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-04T23:51:31.317Z] The best model improves the baseline by 14.34%. [2026-02-04T23:51:31.317Z] Top recommended movies for user id 72: [2026-02-04T23:51:31.317Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:51:31.317Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:51:31.317Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:51:31.318Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:51:31.318Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:51:31.318Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (33952.667 ms) ====== [2026-02-04T23:51:31.318Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-04T23:51:31.318Z] GC before operation: completed in 133.729 ms, heap usage 418.656 MB -> 89.244 MB. [2026-02-04T23:51:37.497Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:51:41.370Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:51:46.347Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:51:51.303Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:51:53.756Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:51:56.847Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:51:59.912Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:52:02.280Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:52:02.630Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-04T23:52:02.630Z] The best model improves the baseline by 14.34%. [2026-02-04T23:52:03.136Z] Top recommended movies for user id 72: [2026-02-04T23:52:03.136Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:52:03.136Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:52:03.136Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:52:03.136Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:52:03.136Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:52:03.136Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (31591.678 ms) ====== [2026-02-04T23:52:03.137Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-04T23:52:03.137Z] GC before operation: completed in 186.779 ms, heap usage 165.805 MB -> 89.147 MB. [2026-02-04T23:52:08.002Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:52:12.976Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:52:18.376Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:52:23.316Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:52:26.476Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:52:28.827Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:52:31.909Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:52:35.064Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:52:35.064Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-04T23:52:35.064Z] The best model improves the baseline by 14.34%. [2026-02-04T23:52:35.064Z] Top recommended movies for user id 72: [2026-02-04T23:52:35.064Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:52:35.064Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:52:35.064Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:52:35.064Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:52:35.064Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:52:35.064Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (32047.349 ms) ====== [2026-02-04T23:52:35.064Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-04T23:52:35.580Z] GC before operation: completed in 141.726 ms, heap usage 173.817 MB -> 89.123 MB. [2026-02-04T23:52:40.431Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:52:45.317Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:52:50.314Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:52:54.201Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:52:57.267Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:52:59.614Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:53:02.743Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:53:05.118Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:53:05.527Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-04T23:53:05.527Z] The best model improves the baseline by 14.34%. [2026-02-04T23:53:06.014Z] Top recommended movies for user id 72: [2026-02-04T23:53:06.015Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:53:06.015Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:53:06.015Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:53:06.015Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:53:06.015Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:53:06.015Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (30554.176 ms) ====== [2026-02-04T23:53:06.015Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-04T23:53:06.015Z] GC before operation: completed in 154.916 ms, heap usage 365.185 MB -> 89.676 MB. [2026-02-04T23:53:10.897Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:53:15.830Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:53:20.738Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:53:25.768Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:53:29.689Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:53:32.128Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:53:35.424Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:53:38.855Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:53:39.785Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-04T23:53:39.785Z] The best model improves the baseline by 14.34%. [2026-02-04T23:53:39.785Z] Top recommended movies for user id 72: [2026-02-04T23:53:39.785Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:53:39.785Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:53:39.785Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:53:39.785Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:53:39.785Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:53:39.785Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (33673.944 ms) ====== [2026-02-04T23:53:39.785Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-04T23:53:39.785Z] GC before operation: completed in 124.545 ms, heap usage 255.936 MB -> 89.344 MB. [2026-02-04T23:53:46.333Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:53:51.446Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:53:56.374Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:54:01.451Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:54:04.710Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:54:07.292Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:54:10.549Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:54:14.037Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:54:14.579Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-04T23:54:14.579Z] The best model improves the baseline by 14.34%. [2026-02-04T23:54:14.579Z] Top recommended movies for user id 72: [2026-02-04T23:54:14.579Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:54:14.579Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:54:14.579Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:54:14.579Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:54:14.579Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:54:14.579Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (34648.988 ms) ====== [2026-02-04T23:54:14.579Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-04T23:54:14.579Z] GC before operation: completed in 129.905 ms, heap usage 290.844 MB -> 89.556 MB. [2026-02-04T23:54:20.918Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:54:26.145Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:54:31.060Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:54:36.030Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:54:39.257Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:54:41.837Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:54:45.759Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:54:48.808Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:54:49.446Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-04T23:54:49.446Z] The best model improves the baseline by 14.34%. [2026-02-04T23:54:49.446Z] Top recommended movies for user id 72: [2026-02-04T23:54:49.446Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:54:49.446Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:54:49.446Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:54:49.446Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:54:49.446Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:54:49.446Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (34693.597 ms) ====== [2026-02-04T23:54:49.446Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-04T23:54:49.823Z] GC before operation: completed in 132.142 ms, heap usage 289.995 MB -> 89.378 MB. [2026-02-04T23:54:54.704Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:54:59.708Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:55:06.080Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:55:11.011Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:55:13.517Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:55:16.633Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:55:19.772Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:55:23.001Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:55:23.001Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-04T23:55:23.001Z] The best model improves the baseline by 14.34%. [2026-02-04T23:55:23.503Z] Top recommended movies for user id 72: [2026-02-04T23:55:23.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:55:23.503Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:55:23.503Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:55:23.503Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:55:23.503Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:55:23.503Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (33934.466 ms) ====== [2026-02-04T23:55:23.503Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-04T23:55:23.503Z] GC before operation: completed in 129.945 ms, heap usage 511.938 MB -> 93.087 MB. [2026-02-04T23:55:28.506Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:55:33.400Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:55:38.385Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:55:42.307Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:55:45.396Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:55:49.042Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:55:52.321Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:55:55.468Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:55:55.468Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-04T23:55:55.468Z] The best model improves the baseline by 14.34%. [2026-02-04T23:55:55.943Z] Top recommended movies for user id 72: [2026-02-04T23:55:55.943Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:55:55.943Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:55:55.943Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:55:55.943Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:55:55.943Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:55:55.943Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (32297.110 ms) ====== [2026-02-04T23:55:55.943Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-04T23:55:55.943Z] GC before operation: completed in 151.763 ms, heap usage 292.163 MB -> 89.638 MB. [2026-02-04T23:56:02.570Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:56:07.584Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:56:12.712Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:56:17.618Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:56:20.827Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:56:24.091Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:56:27.399Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:56:29.865Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:56:30.780Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-04T23:56:30.780Z] The best model improves the baseline by 14.34%. [2026-02-04T23:56:30.780Z] Top recommended movies for user id 72: [2026-02-04T23:56:30.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:56:30.780Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:56:30.780Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:56:30.780Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:56:30.780Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:56:30.780Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (34766.238 ms) ====== [2026-02-04T23:56:30.780Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-04T23:56:31.137Z] GC before operation: completed in 131.245 ms, heap usage 289.698 MB -> 89.953 MB. [2026-02-04T23:56:36.023Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:56:41.083Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:56:47.417Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:56:52.524Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:56:55.035Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:56:58.252Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:57:01.421Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:57:03.907Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:57:04.816Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-04T23:57:04.816Z] The best model improves the baseline by 14.34%. [2026-02-04T23:57:04.816Z] Top recommended movies for user id 72: [2026-02-04T23:57:04.816Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:57:04.816Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:57:04.816Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:57:04.816Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:57:04.816Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:57:04.816Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (33890.266 ms) ====== [2026-02-04T23:57:04.816Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-04T23:57:04.816Z] GC before operation: completed in 124.025 ms, heap usage 292.607 MB -> 89.674 MB. [2026-02-04T23:57:10.936Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:57:16.074Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:57:20.971Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:57:25.924Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:57:29.199Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:57:31.687Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:57:35.410Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:57:38.501Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:57:39.047Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-04T23:57:39.047Z] The best model improves the baseline by 14.34%. [2026-02-04T23:57:39.047Z] Top recommended movies for user id 72: [2026-02-04T23:57:39.047Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:57:39.047Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:57:39.047Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:57:39.047Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:57:39.047Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:57:39.047Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (34120.887 ms) ====== [2026-02-04T23:57:39.047Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-04T23:57:39.410Z] GC before operation: completed in 130.630 ms, heap usage 290.001 MB -> 89.469 MB. [2026-02-04T23:57:44.263Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:57:48.169Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:57:53.105Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:57:57.939Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:58:00.271Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:58:03.358Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:58:05.681Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:58:08.775Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:58:09.338Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-04T23:58:09.338Z] The best model improves the baseline by 14.34%. [2026-02-04T23:58:09.338Z] Top recommended movies for user id 72: [2026-02-04T23:58:09.338Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:58:09.338Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:58:09.338Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:58:09.338Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:58:09.338Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:58:09.338Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (30112.428 ms) ====== [2026-02-04T23:58:09.338Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-04T23:58:09.338Z] GC before operation: completed in 129.541 ms, heap usage 363.732 MB -> 89.761 MB. [2026-02-04T23:58:14.214Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:58:19.103Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:58:24.015Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:58:27.925Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:58:30.959Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:58:33.280Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:58:36.357Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:58:38.691Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:58:39.595Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-04T23:58:39.595Z] The best model improves the baseline by 14.34%. [2026-02-04T23:58:39.595Z] Top recommended movies for user id 72: [2026-02-04T23:58:39.595Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:58:39.595Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:58:39.595Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:58:39.595Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:58:39.595Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:58:39.595Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (30153.232 ms) ====== [2026-02-04T23:58:39.595Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-04T23:58:39.595Z] GC before operation: completed in 125.512 ms, heap usage 364.682 MB -> 89.649 MB. [2026-02-04T23:58:44.467Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:58:49.333Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:58:54.246Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:58:58.126Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:59:01.243Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:59:03.583Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:59:06.660Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:59:08.980Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:59:09.338Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-04T23:59:09.855Z] The best model improves the baseline by 14.34%. [2026-02-04T23:59:09.855Z] Top recommended movies for user id 72: [2026-02-04T23:59:09.855Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:59:09.855Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:59:09.855Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:59:09.855Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:59:09.855Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:59:09.855Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (30138.350 ms) ====== [2026-02-04T23:59:09.855Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-04T23:59:09.855Z] GC before operation: completed in 124.359 ms, heap usage 247.074 MB -> 89.497 MB. [2026-02-04T23:59:14.795Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:59:19.671Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:59:24.535Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:59:30.693Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:59:33.182Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:59:36.524Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:59:39.799Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:59:42.287Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:59:43.042Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-04T23:59:43.042Z] The best model improves the baseline by 14.34%. [2026-02-04T23:59:43.042Z] Top recommended movies for user id 72: [2026-02-04T23:59:43.042Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:59:43.042Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:59:43.042Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:59:43.042Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:59:43.042Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:59:43.042Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (33212.498 ms) ====== [2026-02-04T23:59:43.396Z] ----------------------------------- [2026-02-04T23:59:43.396Z] renaissance-movie-lens_0_PASSED [2026-02-04T23:59:43.396Z] ----------------------------------- [2026-02-04T23:59:43.737Z] [2026-02-04T23:59:43.737Z] TEST TEARDOWN: [2026-02-04T23:59:43.737Z] Nothing to be done for teardown. [2026-02-04T23:59:43.737Z] renaissance-movie-lens_0 Finish Time: Wed Feb 4 23:59:43 2026 Epoch Time (ms): 1770249583665