Test Results Summary Service

renaissance-movie-lens_0

[2026-02-25T22:04:55.834Z] Running test renaissance-movie-lens_0 ... [2026-02-25T22:04:55.834Z] =============================================== [2026-02-25T22:04:55.834Z] renaissance-movie-lens_0 Start Time: Wed Feb 25 22:04:54 2026 Epoch Time (ms): 1772057094675 [2026-02-25T22:04:55.834Z] variation: NoOptions [2026-02-25T22:04:55.834Z] JVM_OPTIONS: [2026-02-25T22:04:55.834Z] { \ [2026-02-25T22:04:55.834Z] echo ""; echo "TEST SETUP:"; \ [2026-02-25T22:04:55.834Z] echo "Nothing to be done for setup."; \ [2026-02-25T22:04:55.834Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17720562654078/renaissance-movie-lens_0"; \ [2026-02-25T22:04:55.834Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17720562654078/renaissance-movie-lens_0"; \ [2026-02-25T22:04:55.834Z] echo ""; echo "TESTING:"; \ [2026-02-25T22:04:55.834Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/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_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17720562654078/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-25T22:04:55.834Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17720562654078/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-25T22:04:55.834Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-25T22:04:55.834Z] echo "Nothing to be done for teardown."; \ [2026-02-25T22:04:55.834Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17720562654078/TestTargetResult"; [2026-02-25T22:04:55.834Z] [2026-02-25T22:04:55.834Z] TEST SETUP: [2026-02-25T22:04:55.834Z] Nothing to be done for setup. [2026-02-25T22:04:55.834Z] [2026-02-25T22:04:55.834Z] TESTING: [2026-02-25T22:05:02.729Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads. [2026-02-25T22:05:14.538Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-25T22:05:14.538Z] Training: 60056, validation: 20285, test: 19854 [2026-02-25T22:05:14.538Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-25T22:05:14.538Z] GC before operation: completed in 144.351 ms, heap usage 786.657 MB -> 76.790 MB. [2026-02-25T22:05:20.190Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:05:23.640Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:05:27.101Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:05:30.550Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:05:32.151Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:05:34.642Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:05:36.262Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:05:38.749Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:05:38.749Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-25T22:05:38.749Z] The best model improves the baseline by 14.43%. [2026-02-25T22:05:38.749Z] Top recommended movies for user id 72: [2026-02-25T22:05:38.749Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-25T22:05:38.749Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-25T22:05:38.749Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-25T22:05:38.749Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-25T22:05:38.749Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-25T22:05:38.749Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24286.915 ms) ====== [2026-02-25T22:05:38.749Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-25T22:05:38.749Z] GC before operation: completed in 172.598 ms, heap usage 246.626 MB -> 88.141 MB. [2026-02-25T22:05:43.243Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:05:45.732Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:05:49.175Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:05:52.622Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:05:54.273Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:05:55.882Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:05:58.364Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:05:59.965Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:06:00.738Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-25T22:06:00.738Z] The best model improves the baseline by 14.43%. [2026-02-25T22:06:00.738Z] Top recommended movies for user id 72: [2026-02-25T22:06:00.738Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-25T22:06:00.738Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-25T22:06:00.738Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-25T22:06:00.738Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-25T22:06:00.738Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-25T22:06:00.738Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21745.616 ms) ====== [2026-02-25T22:06:00.738Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-25T22:06:00.738Z] GC before operation: completed in 166.349 ms, heap usage 1.163 GB -> 95.836 MB. [2026-02-25T22:06:04.181Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:06:07.622Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:06:11.251Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:06:13.827Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:06:15.435Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:06:17.917Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:06:19.518Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:06:22.012Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:06:22.012Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-25T22:06:22.012Z] The best model improves the baseline by 14.43%. [2026-02-25T22:06:22.012Z] Top recommended movies for user id 72: [2026-02-25T22:06:22.012Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-25T22:06:22.012Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-25T22:06:22.012Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-25T22:06:22.012Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-25T22:06:22.012Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-25T22:06:22.012Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21256.346 ms) ====== [2026-02-25T22:06:22.012Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-25T22:06:22.786Z] GC before operation: completed in 168.140 ms, heap usage 154.710 MB -> 91.542 MB. [2026-02-25T22:06:26.241Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:06:29.687Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:06:33.141Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:06:35.630Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:06:38.126Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:06:39.731Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:06:42.218Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:06:43.821Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:06:43.822Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-25T22:06:43.822Z] The best model improves the baseline by 14.43%. [2026-02-25T22:06:44.596Z] Top recommended movies for user id 72: [2026-02-25T22:06:44.596Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-25T22:06:44.596Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-25T22:06:44.596Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-25T22:06:44.596Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-25T22:06:44.596Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-25T22:06:44.596Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21894.872 ms) ====== [2026-02-25T22:06:44.596Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-25T22:06:44.596Z] GC before operation: completed in 158.766 ms, heap usage 323.314 MB -> 92.228 MB. [2026-02-25T22:06:48.062Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:06:51.508Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:06:54.991Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:06:58.433Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:07:00.035Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:07:02.523Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:07:04.145Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:07:05.782Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:07:06.559Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-25T22:07:06.559Z] The best model improves the baseline by 14.43%. [2026-02-25T22:07:06.559Z] Top recommended movies for user id 72: [2026-02-25T22:07:06.559Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-25T22:07:06.559Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-25T22:07:06.559Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-25T22:07:06.559Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-25T22:07:06.559Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-25T22:07:06.559Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21871.153 ms) ====== [2026-02-25T22:07:06.559Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-25T22:07:06.559Z] GC before operation: completed in 159.554 ms, heap usage 1.405 GB -> 97.339 MB. [2026-02-25T22:07:10.009Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:07:13.448Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:07:16.921Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:07:19.410Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:07:21.892Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:07:23.495Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:07:26.367Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:07:27.475Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:07:28.265Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-25T22:07:28.265Z] The best model improves the baseline by 14.43%. [2026-02-25T22:07:28.265Z] Top recommended movies for user id 72: [2026-02-25T22:07:28.265Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-25T22:07:28.265Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-25T22:07:28.265Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-25T22:07:28.265Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-25T22:07:28.265Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-25T22:07:28.265Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21510.142 ms) ====== [2026-02-25T22:07:28.265Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-25T22:07:28.265Z] GC before operation: completed in 201.238 ms, heap usage 2.366 GB -> 99.948 MB. [2026-02-25T22:07:31.879Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:07:35.356Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:07:38.806Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:07:41.296Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:07:42.898Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:07:45.402Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:07:47.002Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:07:48.613Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:07:49.388Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-25T22:07:49.388Z] The best model improves the baseline by 14.43%. [2026-02-25T22:07:49.388Z] Top recommended movies for user id 72: [2026-02-25T22:07:49.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-25T22:07:49.388Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-25T22:07:49.388Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-25T22:07:49.388Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-25T22:07:49.388Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-25T22:07:49.388Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21026.091 ms) ====== [2026-02-25T22:07:49.388Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-25T22:07:49.388Z] GC before operation: completed in 183.024 ms, heap usage 1.806 GB -> 98.287 MB. [2026-02-25T22:07:52.870Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:07:55.379Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:07:58.819Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:08:02.312Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:08:03.915Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:08:05.518Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:08:08.013Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:08:09.611Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:08:10.388Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-25T22:08:10.388Z] The best model improves the baseline by 14.43%. [2026-02-25T22:08:10.388Z] Top recommended movies for user id 72: [2026-02-25T22:08:10.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-25T22:08:10.388Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-25T22:08:10.388Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-25T22:08:10.388Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-25T22:08:10.388Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-25T22:08:10.388Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20829.836 ms) ====== [2026-02-25T22:08:10.388Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-25T22:08:10.388Z] GC before operation: completed in 178.230 ms, heap usage 419.292 MB -> 92.821 MB. [2026-02-25T22:08:13.832Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:08:17.274Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:08:20.716Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:08:24.178Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:08:25.775Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:08:27.381Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:08:28.981Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:08:30.610Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:08:31.435Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-25T22:08:31.435Z] The best model improves the baseline by 14.43%. [2026-02-25T22:08:31.435Z] Top recommended movies for user id 72: [2026-02-25T22:08:31.435Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-25T22:08:31.435Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-25T22:08:31.435Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-25T22:08:31.435Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-25T22:08:31.435Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-25T22:08:31.435Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20890.883 ms) ====== [2026-02-25T22:08:31.435Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-25T22:08:31.435Z] GC before operation: completed in 187.088 ms, heap usage 2.351 GB -> 102.819 MB. [2026-02-25T22:08:34.877Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:08:37.368Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:08:40.847Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:08:43.340Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:08:45.829Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:08:47.432Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:08:49.033Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:08:50.637Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:08:50.637Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-25T22:08:51.414Z] The best model improves the baseline by 14.43%. [2026-02-25T22:08:51.414Z] Top recommended movies for user id 72: [2026-02-25T22:08:51.414Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-25T22:08:51.414Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-25T22:08:51.414Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-25T22:08:51.414Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-25T22:08:51.414Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-25T22:08:51.414Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19664.482 ms) ====== [2026-02-25T22:08:51.414Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-25T22:08:51.414Z] GC before operation: completed in 171.273 ms, heap usage 2.421 GB -> 100.395 MB. [2026-02-25T22:08:54.868Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:08:57.384Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:09:00.882Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:09:04.332Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:09:05.936Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:09:07.548Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:09:10.064Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:09:11.671Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:09:11.671Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-25T22:09:11.671Z] The best model improves the baseline by 14.43%. [2026-02-25T22:09:12.453Z] Top recommended movies for user id 72: [2026-02-25T22:09:12.453Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-25T22:09:12.453Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-25T22:09:12.453Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-25T22:09:12.453Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-25T22:09:12.453Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-25T22:09:12.453Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20753.229 ms) ====== [2026-02-25T22:09:12.453Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-25T22:09:12.453Z] GC before operation: completed in 156.874 ms, heap usage 837.650 MB -> 96.674 MB. [2026-02-25T22:09:15.907Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:09:18.398Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:09:21.850Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:09:24.333Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:09:26.829Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:09:28.476Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:09:30.087Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:09:31.687Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:09:32.461Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-25T22:09:32.461Z] The best model improves the baseline by 14.43%. [2026-02-25T22:09:32.461Z] Top recommended movies for user id 72: [2026-02-25T22:09:32.461Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-25T22:09:32.461Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-25T22:09:32.461Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-25T22:09:32.461Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-25T22:09:32.461Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-25T22:09:32.461Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20033.499 ms) ====== [2026-02-25T22:09:32.461Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-25T22:09:32.461Z] GC before operation: completed in 186.564 ms, heap usage 2.553 GB -> 99.034 MB. [2026-02-25T22:09:35.901Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:09:39.352Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:09:41.844Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:09:45.291Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:09:46.895Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:09:48.494Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:09:50.997Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:09:52.608Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:09:52.608Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-25T22:09:52.608Z] The best model improves the baseline by 14.43%. [2026-02-25T22:09:52.608Z] Top recommended movies for user id 72: [2026-02-25T22:09:52.608Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-25T22:09:52.608Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-25T22:09:52.608Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-25T22:09:52.608Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-25T22:09:52.608Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-25T22:09:52.608Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20248.176 ms) ====== [2026-02-25T22:09:52.608Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-25T22:09:52.608Z] GC before operation: completed in 178.029 ms, heap usage 2.323 GB -> 101.663 MB. [2026-02-25T22:09:56.048Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:09:59.499Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:10:02.003Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:10:05.454Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:10:07.057Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:10:08.660Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:10:10.266Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:10:11.862Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:10:12.635Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-25T22:10:12.635Z] The best model improves the baseline by 14.43%. [2026-02-25T22:10:12.635Z] Top recommended movies for user id 72: [2026-02-25T22:10:12.635Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-25T22:10:12.635Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-25T22:10:12.635Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-25T22:10:12.635Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-25T22:10:12.635Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-25T22:10:12.635Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19580.050 ms) ====== [2026-02-25T22:10:12.635Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-25T22:10:12.635Z] GC before operation: completed in 169.161 ms, heap usage 2.866 GB -> 102.723 MB. [2026-02-25T22:10:16.100Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:10:18.589Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:10:22.031Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:10:24.518Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:10:26.120Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:10:27.732Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:10:30.227Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:10:31.840Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:10:31.841Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-25T22:10:31.841Z] The best model improves the baseline by 14.43%. [2026-02-25T22:10:31.841Z] Top recommended movies for user id 72: [2026-02-25T22:10:31.841Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-25T22:10:31.841Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-25T22:10:31.841Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-25T22:10:31.841Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-25T22:10:31.841Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-25T22:10:31.841Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19256.174 ms) ====== [2026-02-25T22:10:31.841Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-25T22:10:31.841Z] GC before operation: completed in 173.972 ms, heap usage 1.061 GB -> 99.880 MB. [2026-02-25T22:10:35.306Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:10:38.760Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:10:41.247Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:10:44.691Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:10:46.301Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:10:47.899Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:10:49.510Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:10:51.110Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:10:51.884Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-25T22:10:51.884Z] The best model improves the baseline by 14.43%. [2026-02-25T22:10:51.884Z] Top recommended movies for user id 72: [2026-02-25T22:10:51.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-25T22:10:51.884Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-25T22:10:51.884Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-25T22:10:51.884Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-25T22:10:51.884Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-25T22:10:51.884Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19661.102 ms) ====== [2026-02-25T22:10:51.884Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-25T22:10:51.884Z] GC before operation: completed in 175.116 ms, heap usage 2.232 GB -> 100.494 MB. [2026-02-25T22:10:55.347Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:10:57.832Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:11:01.309Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:11:04.747Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:11:06.351Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:11:07.956Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:11:09.780Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:11:11.381Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:11:11.381Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-25T22:11:11.381Z] The best model improves the baseline by 14.43%. [2026-02-25T22:11:12.171Z] Top recommended movies for user id 72: [2026-02-25T22:11:12.171Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-25T22:11:12.171Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-25T22:11:12.171Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-25T22:11:12.171Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-25T22:11:12.171Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-25T22:11:12.171Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19857.793 ms) ====== [2026-02-25T22:11:12.171Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-25T22:11:12.171Z] GC before operation: completed in 174.350 ms, heap usage 2.524 GB -> 102.757 MB. [2026-02-25T22:11:14.655Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:11:18.108Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:11:21.555Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:11:24.094Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:11:25.701Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:11:27.306Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:11:28.910Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:11:30.544Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:11:31.320Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-25T22:11:31.320Z] The best model improves the baseline by 14.43%. [2026-02-25T22:11:31.320Z] Top recommended movies for user id 72: [2026-02-25T22:11:31.320Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-25T22:11:31.320Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-25T22:11:31.320Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-25T22:11:31.320Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-25T22:11:31.320Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-25T22:11:31.320Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19372.679 ms) ====== [2026-02-25T22:11:31.320Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-25T22:11:31.320Z] GC before operation: completed in 178.137 ms, heap usage 2.833 GB -> 101.510 MB. [2026-02-25T22:11:34.802Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:11:37.295Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:11:40.749Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:11:43.252Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:11:44.880Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:11:46.484Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:11:48.973Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:11:50.595Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:11:50.595Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-25T22:11:50.595Z] The best model improves the baseline by 14.43%. [2026-02-25T22:11:50.595Z] Top recommended movies for user id 72: [2026-02-25T22:11:50.595Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-25T22:11:50.595Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-25T22:11:50.595Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-25T22:11:50.595Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-25T22:11:50.595Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-25T22:11:50.595Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19273.202 ms) ====== [2026-02-25T22:11:50.595Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-25T22:11:51.369Z] GC before operation: completed in 171.588 ms, heap usage 315.446 MB -> 94.903 MB. [2026-02-25T22:11:54.812Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:11:57.300Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:12:00.748Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:12:03.238Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:12:04.871Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:12:06.483Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:12:08.973Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:12:10.580Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:12:11.356Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-25T22:12:11.356Z] The best model improves the baseline by 14.43%. [2026-02-25T22:12:11.356Z] Top recommended movies for user id 72: [2026-02-25T22:12:11.356Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-25T22:12:11.356Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-25T22:12:11.356Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-25T22:12:11.356Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-25T22:12:11.356Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-25T22:12:11.356Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20246.087 ms) ====== [2026-02-25T22:12:12.133Z] ----------------------------------- [2026-02-25T22:12:12.133Z] renaissance-movie-lens_0_PASSED [2026-02-25T22:12:12.133Z] ----------------------------------- [2026-02-25T22:12:12.133Z] [2026-02-25T22:12:12.133Z] TEST TEARDOWN: [2026-02-25T22:12:12.133Z] Nothing to be done for teardown. [2026-02-25T22:12:12.133Z] renaissance-movie-lens_0 Finish Time: Wed Feb 25 22:12:11 2026 Epoch Time (ms): 1772057531565