Test Results Summary Service

renaissance-movie-lens_0

[2026-01-10T03:01:39.736Z] Running test renaissance-movie-lens_0 ... [2026-01-10T03:01:39.736Z] =============================================== [2026-01-10T03:01:39.736Z] renaissance-movie-lens_0 Start Time: Sat Jan 10 03:01:39 2026 Epoch Time (ms): 1768014099359 [2026-01-10T03:01:39.736Z] variation: NoOptions [2026-01-10T03:01:39.736Z] JVM_OPTIONS: [2026-01-10T03:01:39.736Z] { \ [2026-01-10T03:01:39.736Z] echo ""; echo "TEST SETUP:"; \ [2026-01-10T03:01:39.736Z] echo "Nothing to be done for setup."; \ [2026-01-10T03:01:39.736Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17680127964530/renaissance-movie-lens_0"; \ [2026-01-10T03:01:39.736Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17680127964530/renaissance-movie-lens_0"; \ [2026-01-10T03:01:39.736Z] echo ""; echo "TESTING:"; \ [2026-01-10T03:01:39.736Z] "/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_17680127964530/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-10T03:01:39.736Z] 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_17680127964530/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-10T03:01:39.736Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-10T03:01:39.736Z] echo "Nothing to be done for teardown."; \ [2026-01-10T03:01:39.736Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17680127964530/TestTargetResult"; [2026-01-10T03:01:39.736Z] [2026-01-10T03:01:39.736Z] TEST SETUP: [2026-01-10T03:01:39.736Z] Nothing to be done for setup. [2026-01-10T03:01:39.736Z] [2026-01-10T03:01:39.736Z] TESTING: [2026-01-10T03:01:47.184Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads. [2026-01-10T03:01:57.085Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-10T03:01:57.085Z] Training: 60056, validation: 20285, test: 19854 [2026-01-10T03:01:57.085Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-10T03:01:57.085Z] GC before operation: completed in 130.616 ms, heap usage 549.931 MB -> 75.679 MB. [2026-01-10T03:02:02.737Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:02:06.164Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:02:09.600Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:02:12.080Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:02:13.673Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:02:15.276Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:02:17.763Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:02:19.368Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:02:19.368Z] 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. [2026-01-10T03:02:19.368Z] The best model improves the baseline by 14.43%. [2026-01-10T03:02:20.141Z] Top recommended movies for user id 72: [2026-01-10T03:02:20.141Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-10T03:02:20.141Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-10T03:02:20.141Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-10T03:02:20.141Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-10T03:02:20.141Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-10T03:02:20.141Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22385.925 ms) ====== [2026-01-10T03:02:20.141Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-10T03:02:20.141Z] GC before operation: completed in 171.950 ms, heap usage 658.884 MB -> 93.168 MB. [2026-01-10T03:02:22.654Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:02:26.090Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:02:29.530Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:02:32.016Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:02:33.607Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:02:35.206Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:02:37.687Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:02:39.288Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:02:39.288Z] 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. [2026-01-10T03:02:39.288Z] The best model improves the baseline by 14.43%. [2026-01-10T03:02:39.288Z] Top recommended movies for user id 72: [2026-01-10T03:02:39.288Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-10T03:02:39.288Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-10T03:02:39.288Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-10T03:02:39.288Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-10T03:02:39.288Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-10T03:02:39.288Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19540.384 ms) ====== [2026-01-10T03:02:39.288Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-10T03:02:40.060Z] GC before operation: completed in 162.088 ms, heap usage 259.436 MB -> 89.912 MB. [2026-01-10T03:02:42.538Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:02:45.967Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:02:48.449Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:02:51.886Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:02:53.492Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:02:55.091Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:02:56.682Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:02:58.289Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:02:58.289Z] 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. [2026-01-10T03:02:58.289Z] The best model improves the baseline by 14.43%. [2026-01-10T03:02:59.060Z] Top recommended movies for user id 72: [2026-01-10T03:02:59.060Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-10T03:02:59.060Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-10T03:02:59.060Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-10T03:02:59.060Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-10T03:02:59.060Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-10T03:02:59.060Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18958.836 ms) ====== [2026-01-10T03:02:59.060Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-10T03:02:59.060Z] GC before operation: completed in 161.981 ms, heap usage 951.163 MB -> 94.578 MB. [2026-01-10T03:03:01.542Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:03:04.202Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:03:07.643Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:03:10.126Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:03:11.741Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:03:13.339Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:03:14.998Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:03:16.618Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:03:17.389Z] 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. [2026-01-10T03:03:17.389Z] The best model improves the baseline by 14.43%. [2026-01-10T03:03:17.389Z] Top recommended movies for user id 72: [2026-01-10T03:03:17.389Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-10T03:03:17.389Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-10T03:03:17.389Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-10T03:03:17.389Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-10T03:03:17.389Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-10T03:03:17.389Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18493.794 ms) ====== [2026-01-10T03:03:17.389Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-10T03:03:17.389Z] GC before operation: completed in 162.579 ms, heap usage 127.529 MB -> 95.472 MB. [2026-01-10T03:03:19.874Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:03:23.353Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:03:25.848Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:03:29.284Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:03:30.880Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:03:32.480Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:03:34.091Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:03:35.693Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:03:35.693Z] 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. [2026-01-10T03:03:35.693Z] The best model improves the baseline by 14.43%. [2026-01-10T03:03:36.467Z] Top recommended movies for user id 72: [2026-01-10T03:03:36.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-10T03:03:36.467Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-10T03:03:36.467Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-10T03:03:36.467Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-10T03:03:36.467Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-10T03:03:36.467Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18653.553 ms) ====== [2026-01-10T03:03:36.467Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-10T03:03:36.467Z] GC before operation: completed in 164.720 ms, heap usage 3.186 GB -> 97.243 MB. [2026-01-10T03:03:38.957Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:03:42.398Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:03:44.888Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:03:47.379Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:03:48.982Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:03:50.585Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:03:53.149Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:03:53.954Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:03:54.737Z] 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. [2026-01-10T03:03:54.737Z] The best model improves the baseline by 14.43%. [2026-01-10T03:03:54.737Z] Top recommended movies for user id 72: [2026-01-10T03:03:54.737Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-10T03:03:54.737Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-10T03:03:54.737Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-10T03:03:54.737Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-10T03:03:54.737Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-10T03:03:54.737Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18432.210 ms) ====== [2026-01-10T03:03:54.737Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-10T03:03:54.737Z] GC before operation: completed in 155.037 ms, heap usage 1.808 GB -> 97.067 MB. [2026-01-10T03:03:58.191Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:04:00.692Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:04:03.178Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:04:06.623Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:04:08.230Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:04:09.836Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:04:11.447Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:04:13.063Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:04:13.063Z] 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. [2026-01-10T03:04:13.063Z] The best model improves the baseline by 14.43%. [2026-01-10T03:04:13.063Z] Top recommended movies for user id 72: [2026-01-10T03:04:13.063Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-10T03:04:13.063Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-10T03:04:13.063Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-10T03:04:13.063Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-10T03:04:13.063Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-10T03:04:13.063Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18472.331 ms) ====== [2026-01-10T03:04:13.063Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-10T03:04:13.854Z] GC before operation: completed in 159.867 ms, heap usage 2.361 GB -> 97.618 MB. [2026-01-10T03:04:16.354Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:04:18.838Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:04:22.277Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:04:24.777Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:04:26.377Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:04:27.978Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:04:29.586Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:04:31.199Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:04:31.982Z] 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. [2026-01-10T03:04:31.982Z] The best model improves the baseline by 14.43%. [2026-01-10T03:04:31.982Z] Top recommended movies for user id 72: [2026-01-10T03:04:31.982Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-10T03:04:31.982Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-10T03:04:31.982Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-10T03:04:31.982Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-10T03:04:31.982Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-10T03:04:31.982Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18459.258 ms) ====== [2026-01-10T03:04:31.982Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-10T03:04:31.982Z] GC before operation: completed in 177.405 ms, heap usage 2.319 GB -> 97.585 MB. [2026-01-10T03:04:35.429Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:04:37.917Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:04:40.415Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:04:43.872Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:04:44.650Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:04:46.262Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:04:48.748Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:04:50.352Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:04:50.352Z] 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. [2026-01-10T03:04:50.352Z] The best model improves the baseline by 14.43%. [2026-01-10T03:04:50.352Z] Top recommended movies for user id 72: [2026-01-10T03:04:50.352Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-10T03:04:50.352Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-10T03:04:50.352Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-10T03:04:50.352Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-10T03:04:50.352Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-10T03:04:50.352Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18304.205 ms) ====== [2026-01-10T03:04:50.352Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-10T03:04:50.352Z] GC before operation: completed in 161.119 ms, heap usage 1.774 GB -> 97.118 MB. [2026-01-10T03:04:53.813Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:04:56.290Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:04:59.898Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:05:02.383Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:05:03.160Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:05:05.665Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:05:07.296Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:05:08.915Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:05:08.915Z] 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. [2026-01-10T03:05:08.915Z] The best model improves the baseline by 14.43%. [2026-01-10T03:05:08.915Z] Top recommended movies for user id 72: [2026-01-10T03:05:08.915Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-10T03:05:08.915Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-10T03:05:08.915Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-10T03:05:08.915Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-10T03:05:08.915Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-10T03:05:08.915Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18452.396 ms) ====== [2026-01-10T03:05:08.915Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-10T03:05:08.915Z] GC before operation: completed in 169.847 ms, heap usage 2.970 GB -> 97.960 MB. [2026-01-10T03:05:12.350Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:05:14.840Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:05:18.290Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:05:20.775Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:05:22.376Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:05:23.966Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:05:25.567Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:05:27.158Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:05:27.928Z] 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. [2026-01-10T03:05:27.928Z] The best model improves the baseline by 14.43%. [2026-01-10T03:05:27.928Z] Top recommended movies for user id 72: [2026-01-10T03:05:27.928Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-10T03:05:27.928Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-10T03:05:27.928Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-10T03:05:27.928Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-10T03:05:27.928Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-10T03:05:27.928Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18515.255 ms) ====== [2026-01-10T03:05:27.928Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-10T03:05:27.928Z] GC before operation: completed in 167.650 ms, heap usage 338.666 MB -> 91.156 MB. [2026-01-10T03:05:30.402Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:05:33.837Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:05:36.311Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:05:38.798Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:05:40.439Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:05:42.207Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:05:43.817Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:05:45.452Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:05:46.230Z] 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. [2026-01-10T03:05:46.230Z] The best model improves the baseline by 14.43%. [2026-01-10T03:05:46.230Z] Top recommended movies for user id 72: [2026-01-10T03:05:46.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-10T03:05:46.230Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-10T03:05:46.230Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-10T03:05:46.230Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-10T03:05:46.230Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-10T03:05:46.230Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18309.744 ms) ====== [2026-01-10T03:05:46.230Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-10T03:05:46.230Z] GC before operation: completed in 159.260 ms, heap usage 3.213 GB -> 97.827 MB. [2026-01-10T03:05:49.681Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:05:52.156Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:05:55.611Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:05:57.341Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:05:59.829Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:06:00.635Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:06:03.133Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:06:04.753Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:06:04.753Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-10T03:06:04.753Z] The best model improves the baseline by 14.43%. [2026-01-10T03:06:04.753Z] Top recommended movies for user id 72: [2026-01-10T03:06:04.753Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-10T03:06:04.753Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-10T03:06:04.753Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-10T03:06:04.753Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-10T03:06:04.753Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-10T03:06:04.753Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18435.234 ms) ====== [2026-01-10T03:06:04.753Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-10T03:06:04.753Z] GC before operation: completed in 166.055 ms, heap usage 2.640 GB -> 97.903 MB. [2026-01-10T03:06:08.213Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:06:10.701Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:06:13.231Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:06:15.745Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:06:18.229Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:06:19.011Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:06:21.494Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:06:23.084Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:06:23.084Z] 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. [2026-01-10T03:06:23.084Z] The best model improves the baseline by 14.43%. [2026-01-10T03:06:23.084Z] Top recommended movies for user id 72: [2026-01-10T03:06:23.084Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-10T03:06:23.084Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-10T03:06:23.084Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-10T03:06:23.084Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-10T03:06:23.084Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-10T03:06:23.084Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18169.079 ms) ====== [2026-01-10T03:06:23.084Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-10T03:06:23.084Z] GC before operation: completed in 168.777 ms, heap usage 1.762 GB -> 97.179 MB. [2026-01-10T03:06:26.513Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:06:29.055Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:06:32.507Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:06:35.004Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:06:36.604Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:06:38.203Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:06:39.814Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:06:41.432Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:06:41.432Z] 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. [2026-01-10T03:06:41.432Z] The best model improves the baseline by 14.43%. [2026-01-10T03:06:42.211Z] Top recommended movies for user id 72: [2026-01-10T03:06:42.211Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-10T03:06:42.211Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-10T03:06:42.211Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-10T03:06:42.211Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-10T03:06:42.211Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-10T03:06:42.211Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18486.933 ms) ====== [2026-01-10T03:06:42.211Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-10T03:06:42.211Z] GC before operation: completed in 152.938 ms, heap usage 2.579 GB -> 97.781 MB. [2026-01-10T03:06:44.689Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:06:47.180Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:06:50.626Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:06:53.129Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:06:54.736Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:06:56.358Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:06:58.107Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:06:59.706Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:07:00.481Z] 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. [2026-01-10T03:07:00.481Z] The best model improves the baseline by 14.43%. [2026-01-10T03:07:00.481Z] Top recommended movies for user id 72: [2026-01-10T03:07:00.481Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-10T03:07:00.481Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-10T03:07:00.481Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-10T03:07:00.481Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-10T03:07:00.481Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-10T03:07:00.481Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18364.315 ms) ====== [2026-01-10T03:07:00.481Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-10T03:07:00.481Z] GC before operation: completed in 164.042 ms, heap usage 119.222 MB -> 95.384 MB. [2026-01-10T03:07:03.065Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:07:06.578Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:07:09.081Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:07:11.568Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:07:13.172Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:07:14.779Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:07:16.394Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:07:18.019Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:07:18.805Z] 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. [2026-01-10T03:07:18.805Z] The best model improves the baseline by 14.43%. [2026-01-10T03:07:18.805Z] Top recommended movies for user id 72: [2026-01-10T03:07:18.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-10T03:07:18.805Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-10T03:07:18.805Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-10T03:07:18.805Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-10T03:07:18.805Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-10T03:07:18.805Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18180.882 ms) ====== [2026-01-10T03:07:18.805Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-10T03:07:18.805Z] GC before operation: completed in 163.784 ms, heap usage 574.385 MB -> 91.669 MB. [2026-01-10T03:07:21.318Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:07:24.786Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:07:27.279Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:07:29.791Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:07:31.384Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:07:32.981Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:07:35.494Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:07:36.269Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:07:37.043Z] 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. [2026-01-10T03:07:37.043Z] The best model improves the baseline by 14.43%. [2026-01-10T03:07:37.043Z] Top recommended movies for user id 72: [2026-01-10T03:07:37.043Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-10T03:07:37.043Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-10T03:07:37.043Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-10T03:07:37.043Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-10T03:07:37.043Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-10T03:07:37.043Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18211.023 ms) ====== [2026-01-10T03:07:37.043Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-10T03:07:37.043Z] GC before operation: completed in 161.686 ms, heap usage 576.769 MB -> 91.550 MB. [2026-01-10T03:07:40.498Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:07:42.978Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:07:45.455Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:07:47.953Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:07:50.464Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:07:51.244Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:07:53.751Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:07:55.387Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:07:55.387Z] 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. [2026-01-10T03:07:55.387Z] The best model improves the baseline by 14.43%. [2026-01-10T03:07:55.387Z] Top recommended movies for user id 72: [2026-01-10T03:07:55.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-10T03:07:55.387Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-10T03:07:55.387Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-10T03:07:55.387Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-10T03:07:55.387Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-10T03:07:55.387Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18213.410 ms) ====== [2026-01-10T03:07:55.387Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-10T03:07:55.387Z] GC before operation: completed in 149.201 ms, heap usage 663.466 MB -> 95.098 MB. [2026-01-10T03:07:58.890Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:08:01.369Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:08:03.858Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:08:06.355Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:08:08.850Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:08:10.445Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:08:12.047Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:08:13.650Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:08:13.650Z] 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. [2026-01-10T03:08:13.650Z] The best model improves the baseline by 14.43%. [2026-01-10T03:08:13.650Z] Top recommended movies for user id 72: [2026-01-10T03:08:13.650Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-10T03:08:13.650Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-10T03:08:13.650Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-10T03:08:13.650Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-10T03:08:13.650Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-10T03:08:13.650Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18355.233 ms) ====== [2026-01-10T03:08:14.423Z] ----------------------------------- [2026-01-10T03:08:14.423Z] renaissance-movie-lens_0_PASSED [2026-01-10T03:08:14.423Z] ----------------------------------- [2026-01-10T03:08:14.423Z] [2026-01-10T03:08:14.423Z] TEST TEARDOWN: [2026-01-10T03:08:14.423Z] Nothing to be done for teardown. [2026-01-10T03:08:14.423Z] renaissance-movie-lens_0 Finish Time: Sat Jan 10 03:08:14 2026 Epoch Time (ms): 1768014494180