Test Results Summary Service

renaissance-movie-lens_0

[2025-05-16T21:01:56.519Z] Running test renaissance-movie-lens_0 ... [2025-05-16T21:01:56.519Z] =============================================== [2025-05-16T21:01:56.519Z] renaissance-movie-lens_0 Start Time: Fri May 16 16:01:55 2025 Epoch Time (ms): 1747429315346 [2025-05-16T21:01:56.519Z] variation: NoOptions [2025-05-16T21:01:56.519Z] JVM_OPTIONS: [2025-05-16T21:01:56.519Z] { \ [2025-05-16T21:01:56.519Z] echo ""; echo "TEST SETUP:"; \ [2025-05-16T21:01:56.519Z] echo "Nothing to be done for setup."; \ [2025-05-16T21:01:56.519Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17474282195782/renaissance-movie-lens_0"; \ [2025-05-16T21:01:56.519Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17474282195782/renaissance-movie-lens_0"; \ [2025-05-16T21:01:56.519Z] echo ""; echo "TESTING:"; \ [2025-05-16T21:01:56.519Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17474282195782/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-16T21:01:56.519Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17474282195782/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-16T21:01:56.519Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-16T21:01:56.519Z] echo "Nothing to be done for teardown."; \ [2025-05-16T21:01:56.519Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17474282195782/TestTargetResult"; [2025-05-16T21:01:56.519Z] [2025-05-16T21:01:56.519Z] TEST SETUP: [2025-05-16T21:01:56.519Z] Nothing to be done for setup. [2025-05-16T21:01:56.519Z] [2025-05-16T21:01:56.519Z] TESTING: [2025-05-16T21:02:02.811Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads. [2025-05-16T21:02:11.722Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-16T21:02:12.405Z] Training: 60056, validation: 20285, test: 19854 [2025-05-16T21:02:12.405Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-16T21:02:12.405Z] GC before operation: completed in 141.879 ms, heap usage 218.840 MB -> 76.482 MB. [2025-05-16T21:02:20.023Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:02:24.079Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:02:28.115Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:02:31.185Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:02:32.621Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:02:34.826Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:02:37.037Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:02:39.251Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:02:39.251Z] 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. [2025-05-16T21:02:39.932Z] The best model improves the baseline by 14.43%. [2025-05-16T21:02:39.932Z] Top recommended movies for user id 72: [2025-05-16T21:02:39.932Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-16T21:02:39.932Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-16T21:02:39.932Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-16T21:02:39.932Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-16T21:02:39.932Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-16T21:02:39.932Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27343.046 ms) ====== [2025-05-16T21:02:39.932Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-16T21:02:39.932Z] GC before operation: completed in 113.917 ms, heap usage 341.588 MB -> 91.866 MB. [2025-05-16T21:02:43.977Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:02:47.054Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:02:50.176Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:02:52.406Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:02:54.614Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:02:56.029Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:02:58.240Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:02:59.653Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:02:59.653Z] 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. [2025-05-16T21:02:59.653Z] The best model improves the baseline by 14.43%. [2025-05-16T21:03:00.339Z] Top recommended movies for user id 72: [2025-05-16T21:03:00.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-16T21:03:00.339Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-16T21:03:00.339Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-16T21:03:00.339Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-16T21:03:00.339Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-16T21:03:00.339Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20090.191 ms) ====== [2025-05-16T21:03:00.339Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-16T21:03:00.339Z] GC before operation: completed in 128.152 ms, heap usage 343.399 MB -> 92.676 MB. [2025-05-16T21:03:04.471Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:03:07.552Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:03:10.621Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:03:14.655Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:03:16.070Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:03:18.296Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:03:19.711Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:03:21.926Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:03:21.926Z] 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. [2025-05-16T21:03:21.926Z] The best model improves the baseline by 14.43%. [2025-05-16T21:03:21.926Z] Top recommended movies for user id 72: [2025-05-16T21:03:21.926Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-16T21:03:21.926Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-16T21:03:21.926Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-16T21:03:21.926Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-16T21:03:21.926Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-16T21:03:21.926Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21964.629 ms) ====== [2025-05-16T21:03:21.926Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-16T21:03:22.612Z] GC before operation: completed in 136.453 ms, heap usage 247.238 MB -> 93.840 MB. [2025-05-16T21:03:26.648Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:03:29.720Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:03:32.796Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:03:35.865Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:03:37.279Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:03:38.690Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:03:40.107Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:03:41.546Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:03:42.343Z] 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. [2025-05-16T21:03:42.343Z] The best model improves the baseline by 14.43%. [2025-05-16T21:03:42.343Z] Top recommended movies for user id 72: [2025-05-16T21:03:42.343Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-16T21:03:42.343Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-16T21:03:42.343Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-16T21:03:42.343Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-16T21:03:42.343Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-16T21:03:42.343Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19905.236 ms) ====== [2025-05-16T21:03:42.343Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-16T21:03:42.343Z] GC before operation: completed in 128.032 ms, heap usage 235.180 MB -> 96.486 MB. [2025-05-16T21:03:46.367Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:03:48.575Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:03:51.802Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:03:54.192Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:03:55.608Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:03:57.026Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:03:58.438Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:04:00.652Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:04:00.652Z] 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. [2025-05-16T21:04:00.652Z] The best model improves the baseline by 14.43%. [2025-05-16T21:04:00.652Z] Top recommended movies for user id 72: [2025-05-16T21:04:00.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-16T21:04:00.652Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-16T21:04:00.652Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-16T21:04:00.652Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-16T21:04:00.652Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-16T21:04:00.652Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18411.752 ms) ====== [2025-05-16T21:04:00.652Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-16T21:04:00.652Z] GC before operation: completed in 151.328 ms, heap usage 256.207 MB -> 94.196 MB. [2025-05-16T21:04:04.744Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:04:07.811Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:04:10.909Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:04:13.116Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:04:14.533Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:04:15.947Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:04:17.359Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:04:18.775Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:04:18.775Z] 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. [2025-05-16T21:04:18.775Z] The best model improves the baseline by 14.43%. [2025-05-16T21:04:19.481Z] Top recommended movies for user id 72: [2025-05-16T21:04:19.481Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-16T21:04:19.481Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-16T21:04:19.481Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-16T21:04:19.481Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-16T21:04:19.481Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-16T21:04:19.481Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18311.541 ms) ====== [2025-05-16T21:04:19.481Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-16T21:04:19.481Z] GC before operation: completed in 318.180 ms, heap usage 1.110 GB -> 99.115 MB. [2025-05-16T21:04:23.541Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:04:25.758Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:04:28.827Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:04:31.906Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:04:33.319Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:04:34.741Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:04:36.153Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:04:37.567Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:04:38.256Z] 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. [2025-05-16T21:04:38.256Z] The best model improves the baseline by 14.43%. [2025-05-16T21:04:38.256Z] Top recommended movies for user id 72: [2025-05-16T21:04:38.256Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-16T21:04:38.256Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-16T21:04:38.256Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-16T21:04:38.256Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-16T21:04:38.256Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-16T21:04:38.256Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18760.070 ms) ====== [2025-05-16T21:04:38.256Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-16T21:04:38.256Z] GC before operation: completed in 108.363 ms, heap usage 1.110 GB -> 98.405 MB. [2025-05-16T21:04:42.299Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:04:44.584Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:04:47.656Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:04:49.863Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:04:51.281Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:04:52.694Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:04:54.110Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:04:55.545Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:04:55.545Z] 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. [2025-05-16T21:04:56.235Z] The best model improves the baseline by 14.43%. [2025-05-16T21:04:56.235Z] Top recommended movies for user id 72: [2025-05-16T21:04:56.235Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-16T21:04:56.235Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-16T21:04:56.235Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-16T21:04:56.235Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-16T21:04:56.235Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-16T21:04:56.235Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17685.036 ms) ====== [2025-05-16T21:04:56.235Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-16T21:04:56.235Z] GC before operation: completed in 109.379 ms, heap usage 223.696 MB -> 96.706 MB. [2025-05-16T21:05:00.263Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:05:03.340Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:05:05.555Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:05:08.651Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:05:10.064Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:05:11.478Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:05:13.687Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:05:15.894Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:05:15.894Z] 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. [2025-05-16T21:05:16.574Z] The best model improves the baseline by 14.43%. [2025-05-16T21:05:16.574Z] Top recommended movies for user id 72: [2025-05-16T21:05:16.574Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-16T21:05:16.574Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-16T21:05:16.574Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-16T21:05:16.574Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-16T21:05:16.574Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-16T21:05:16.574Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20228.960 ms) ====== [2025-05-16T21:05:16.574Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-16T21:05:16.574Z] GC before operation: completed in 107.900 ms, heap usage 478.734 MB -> 92.232 MB. [2025-05-16T21:05:19.663Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:05:23.699Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:05:25.918Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:05:28.993Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:05:30.406Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:05:33.102Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:05:33.892Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:05:35.306Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:05:35.991Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-16T21:05:35.991Z] The best model improves the baseline by 14.43%. [2025-05-16T21:05:35.991Z] Top recommended movies for user id 72: [2025-05-16T21:05:35.991Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-16T21:05:35.991Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-16T21:05:35.991Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-16T21:05:35.991Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-16T21:05:35.991Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-16T21:05:35.991Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19391.278 ms) ====== [2025-05-16T21:05:35.991Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-16T21:05:35.991Z] GC before operation: completed in 163.440 ms, heap usage 168.741 MB -> 94.481 MB. [2025-05-16T21:05:40.035Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:05:42.236Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:05:44.449Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:05:46.672Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:05:48.878Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:05:51.085Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:05:52.544Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:05:53.978Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:05:53.978Z] 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. [2025-05-16T21:05:53.978Z] The best model improves the baseline by 14.43%. [2025-05-16T21:05:53.978Z] Top recommended movies for user id 72: [2025-05-16T21:05:53.978Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-16T21:05:53.978Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-16T21:05:53.978Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-16T21:05:53.978Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-16T21:05:53.978Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-16T21:05:53.978Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18053.337 ms) ====== [2025-05-16T21:05:53.978Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-16T21:05:53.978Z] GC before operation: completed in 110.787 ms, heap usage 1.088 GB -> 97.620 MB. [2025-05-16T21:05:57.996Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:06:00.205Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:06:02.423Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:06:05.512Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:06:06.927Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:06:08.340Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:06:10.548Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:06:11.964Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:06:11.964Z] 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. [2025-05-16T21:06:11.964Z] The best model improves the baseline by 14.43%. [2025-05-16T21:06:11.964Z] Top recommended movies for user id 72: [2025-05-16T21:06:11.964Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-16T21:06:11.964Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-16T21:06:11.964Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-16T21:06:11.964Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-16T21:06:11.964Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-16T21:06:11.964Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17846.575 ms) ====== [2025-05-16T21:06:11.964Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-16T21:06:11.964Z] GC before operation: completed in 96.787 ms, heap usage 343.082 MB -> 94.720 MB. [2025-05-16T21:06:15.036Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:06:17.894Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:06:20.974Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:06:24.045Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:06:25.511Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:06:27.734Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:06:29.941Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:06:31.354Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:06:31.354Z] 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. [2025-05-16T21:06:31.354Z] The best model improves the baseline by 14.43%. [2025-05-16T21:06:32.035Z] Top recommended movies for user id 72: [2025-05-16T21:06:32.035Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-16T21:06:32.035Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-16T21:06:32.035Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-16T21:06:32.035Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-16T21:06:32.035Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-16T21:06:32.035Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19613.613 ms) ====== [2025-05-16T21:06:32.035Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-16T21:06:32.035Z] GC before operation: completed in 88.979 ms, heap usage 546.409 MB -> 93.871 MB. [2025-05-16T21:06:35.107Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:06:38.193Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:06:41.278Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:06:43.491Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:06:45.723Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:06:47.138Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:06:49.359Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:06:50.834Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:06:50.834Z] 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. [2025-05-16T21:06:50.834Z] The best model improves the baseline by 14.43%. [2025-05-16T21:06:50.834Z] Top recommended movies for user id 72: [2025-05-16T21:06:50.834Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-16T21:06:50.834Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-16T21:06:50.834Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-16T21:06:50.834Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-16T21:06:50.834Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-16T21:06:50.834Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19237.667 ms) ====== [2025-05-16T21:06:50.834Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-16T21:06:51.518Z] GC before operation: completed in 103.333 ms, heap usage 201.523 MB -> 93.265 MB. [2025-05-16T21:06:54.610Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:06:57.701Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:06:59.919Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:07:03.038Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:07:05.882Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:07:05.882Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:07:07.347Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:07:08.771Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:07:09.459Z] 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. [2025-05-16T21:07:09.459Z] The best model improves the baseline by 14.43%. [2025-05-16T21:07:09.459Z] Top recommended movies for user id 72: [2025-05-16T21:07:09.459Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-16T21:07:09.459Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-16T21:07:09.459Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-16T21:07:09.459Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-16T21:07:09.459Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-16T21:07:09.459Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18291.209 ms) ====== [2025-05-16T21:07:09.459Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-16T21:07:09.459Z] GC before operation: completed in 122.646 ms, heap usage 1.016 GB -> 99.103 MB. [2025-05-16T21:07:13.510Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:07:16.601Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:07:18.835Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:07:21.925Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:07:22.651Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:07:24.097Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:07:26.330Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:07:27.042Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:07:27.735Z] 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. [2025-05-16T21:07:27.735Z] The best model improves the baseline by 14.43%. [2025-05-16T21:07:27.735Z] Top recommended movies for user id 72: [2025-05-16T21:07:27.735Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-16T21:07:27.735Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-16T21:07:27.735Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-16T21:07:27.735Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-16T21:07:27.735Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-16T21:07:27.735Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18102.059 ms) ====== [2025-05-16T21:07:27.735Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-16T21:07:27.735Z] GC before operation: completed in 108.718 ms, heap usage 323.872 MB -> 94.873 MB. [2025-05-16T21:07:30.834Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:07:33.952Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:07:36.169Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:07:38.395Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:07:39.830Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:07:42.057Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:07:43.478Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:07:44.934Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:07:44.934Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-16T21:07:44.934Z] The best model improves the baseline by 14.43%. [2025-05-16T21:07:44.934Z] Top recommended movies for user id 72: [2025-05-16T21:07:44.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-16T21:07:44.934Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-16T21:07:44.934Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-16T21:07:44.934Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-16T21:07:44.934Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-16T21:07:44.934Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17308.340 ms) ====== [2025-05-16T21:07:44.934Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-16T21:07:45.625Z] GC before operation: completed in 114.450 ms, heap usage 465.396 MB -> 96.307 MB. [2025-05-16T21:07:47.832Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:07:50.958Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:07:54.104Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:07:55.534Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:07:56.959Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:07:58.379Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:07:59.795Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:08:01.218Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:08:01.908Z] 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. [2025-05-16T21:08:01.908Z] The best model improves the baseline by 14.43%. [2025-05-16T21:08:01.908Z] Top recommended movies for user id 72: [2025-05-16T21:08:01.908Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-16T21:08:01.908Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-16T21:08:01.908Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-16T21:08:01.908Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-16T21:08:01.908Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-16T21:08:01.908Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16693.064 ms) ====== [2025-05-16T21:08:01.908Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-16T21:08:01.908Z] GC before operation: completed in 107.756 ms, heap usage 395.496 MB -> 93.565 MB. [2025-05-16T21:08:05.943Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:08:09.040Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:08:11.268Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:08:14.360Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:08:15.797Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:08:17.223Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:08:18.646Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:08:20.068Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:08:20.068Z] 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. [2025-05-16T21:08:20.068Z] The best model improves the baseline by 14.43%. [2025-05-16T21:08:20.068Z] Top recommended movies for user id 72: [2025-05-16T21:08:20.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-16T21:08:20.068Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-16T21:08:20.068Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-16T21:08:20.068Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-16T21:08:20.068Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-16T21:08:20.068Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18319.128 ms) ====== [2025-05-16T21:08:20.068Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-16T21:08:20.757Z] GC before operation: completed in 128.112 ms, heap usage 336.311 MB -> 94.960 MB. [2025-05-16T21:08:24.801Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:08:27.886Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:08:30.978Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:08:33.239Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:08:34.657Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:08:36.074Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:08:37.498Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:08:38.913Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:08:39.596Z] 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. [2025-05-16T21:08:39.596Z] The best model improves the baseline by 14.43%. [2025-05-16T21:08:39.596Z] Top recommended movies for user id 72: [2025-05-16T21:08:39.596Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-16T21:08:39.596Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-16T21:08:39.596Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-16T21:08:39.596Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-16T21:08:39.596Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-16T21:08:39.596Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19012.613 ms) ====== [2025-05-16T21:08:41.078Z] ----------------------------------- [2025-05-16T21:08:41.078Z] renaissance-movie-lens_0_PASSED [2025-05-16T21:08:41.078Z] ----------------------------------- [2025-05-16T21:08:41.078Z] [2025-05-16T21:08:41.078Z] TEST TEARDOWN: [2025-05-16T21:08:41.078Z] Nothing to be done for teardown. [2025-05-16T21:08:41.078Z] renaissance-movie-lens_0 Finish Time: Fri May 16 16:08:39 2025 Epoch Time (ms): 1747429719830