renaissance-movie-lens_0
[2025-11-27T04:14:17.709Z] Running test renaissance-movie-lens_0 ...
[2025-11-27T04:14:17.709Z] ===============================================
[2025-11-27T04:14:17.709Z] renaissance-movie-lens_0 Start Time: Thu Nov 27 04:14:17 2025 Epoch Time (ms): 1764216857317
[2025-11-27T04:14:17.709Z] variation: NoOptions
[2025-11-27T04:14:17.709Z] JVM_OPTIONS:
[2025-11-27T04:14:17.709Z] { \
[2025-11-27T04:14:17.709Z] echo ""; echo "TEST SETUP:"; \
[2025-11-27T04:14:17.709Z] echo "Nothing to be done for setup."; \
[2025-11-27T04:14:17.709Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17642155523550/renaissance-movie-lens_0"; \
[2025-11-27T04:14:17.709Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17642155523550/renaissance-movie-lens_0"; \
[2025-11-27T04:14:17.709Z] echo ""; echo "TESTING:"; \
[2025-11-27T04:14:17.709Z] "/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_17642155523550/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-11-27T04:14:17.709Z] 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_17642155523550/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-11-27T04:14:17.709Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-11-27T04:14:17.709Z] echo "Nothing to be done for teardown."; \
[2025-11-27T04:14:17.709Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17642155523550/TestTargetResult";
[2025-11-27T04:14:17.709Z]
[2025-11-27T04:14:17.709Z] TEST SETUP:
[2025-11-27T04:14:17.709Z] Nothing to be done for setup.
[2025-11-27T04:14:17.709Z]
[2025-11-27T04:14:17.709Z] TESTING:
[2025-11-27T04:14:26.136Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-11-27T04:14:36.072Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-11-27T04:14:36.072Z] Training: 60056, validation: 20285, test: 19854
[2025-11-27T04:14:36.072Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-11-27T04:14:36.072Z] GC before operation: completed in 123.585 ms, heap usage 428.202 MB -> 76.213 MB.
[2025-11-27T04:14:41.690Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-27T04:14:45.126Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-27T04:14:48.563Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-27T04:14:52.005Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-27T04:14:53.600Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-27T04:14:55.208Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-27T04:14:57.688Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-27T04:14:59.284Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-27T04:14:59.284Z] 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.
[2025-11-27T04:14:59.284Z] The best model improves the baseline by 14.43%.
[2025-11-27T04:14:59.284Z] Top recommended movies for user id 72:
[2025-11-27T04:14:59.284Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-27T04:14:59.285Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-27T04:14:59.285Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-27T04:14:59.285Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-27T04:14:59.285Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-27T04:14:59.285Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23747.643 ms) ======
[2025-11-27T04:14:59.285Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-11-27T04:15:00.060Z] GC before operation: completed in 201.057 ms, heap usage 2.339 GB -> 101.137 MB.
[2025-11-27T04:15:02.539Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-27T04:15:05.971Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-27T04:15:09.462Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-27T04:15:11.944Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-27T04:15:13.853Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-27T04:15:15.452Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-27T04:15:17.951Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-27T04:15:19.555Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-27T04:15:19.555Z] 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.
[2025-11-27T04:15:19.555Z] The best model improves the baseline by 14.43%.
[2025-11-27T04:15:19.555Z] Top recommended movies for user id 72:
[2025-11-27T04:15:19.555Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-27T04:15:19.555Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-27T04:15:19.555Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-27T04:15:19.555Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-27T04:15:19.555Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-27T04:15:19.555Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20006.963 ms) ======
[2025-11-27T04:15:19.555Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-11-27T04:15:20.339Z] GC before operation: completed in 160.104 ms, heap usage 1.403 GB -> 96.737 MB.
[2025-11-27T04:15:22.821Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-27T04:15:26.251Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-27T04:15:28.773Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-27T04:15:32.205Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-27T04:15:33.804Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-27T04:15:35.399Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-27T04:15:37.003Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-27T04:15:38.600Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-27T04:15:38.600Z] 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.
[2025-11-27T04:15:38.600Z] The best model improves the baseline by 14.43%.
[2025-11-27T04:15:39.385Z] Top recommended movies for user id 72:
[2025-11-27T04:15:39.385Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-27T04:15:39.385Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-27T04:15:39.385Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-27T04:15:39.385Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-27T04:15:39.385Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-27T04:15:39.385Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19163.713 ms) ======
[2025-11-27T04:15:39.385Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-11-27T04:15:39.385Z] GC before operation: completed in 164.144 ms, heap usage 2.065 GB -> 97.136 MB.
[2025-11-27T04:15:42.824Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-27T04:15:45.304Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-27T04:15:48.818Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-27T04:15:51.304Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-27T04:15:52.901Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-27T04:15:54.500Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-27T04:15:56.983Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-27T04:15:58.595Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-27T04:15:58.595Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-27T04:15:58.595Z] The best model improves the baseline by 14.43%.
[2025-11-27T04:15:58.595Z] Top recommended movies for user id 72:
[2025-11-27T04:15:58.595Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-27T04:15:58.595Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-27T04:15:58.596Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-27T04:15:58.596Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-27T04:15:58.596Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-27T04:15:58.596Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19482.210 ms) ======
[2025-11-27T04:15:58.596Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-11-27T04:15:58.596Z] GC before operation: completed in 162.602 ms, heap usage 459.545 MB -> 93.935 MB.
[2025-11-27T04:16:02.034Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-27T04:16:04.535Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-27T04:16:07.986Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-27T04:16:10.465Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-27T04:16:12.060Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-27T04:16:14.531Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-27T04:16:16.125Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-27T04:16:17.725Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-27T04:16:17.725Z] 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.
[2025-11-27T04:16:17.725Z] The best model improves the baseline by 14.43%.
[2025-11-27T04:16:18.508Z] Top recommended movies for user id 72:
[2025-11-27T04:16:18.508Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-27T04:16:18.508Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-27T04:16:18.508Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-27T04:16:18.508Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-27T04:16:18.508Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-27T04:16:18.508Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19321.712 ms) ======
[2025-11-27T04:16:18.508Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-11-27T04:16:18.508Z] GC before operation: completed in 156.644 ms, heap usage 128.441 MB -> 94.488 MB.
[2025-11-27T04:16:20.992Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-27T04:16:24.428Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-27T04:16:26.905Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-27T04:16:30.341Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-27T04:16:31.118Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-27T04:16:32.721Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-27T04:16:35.199Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-27T04:16:36.800Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-27T04:16:36.800Z] 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.
[2025-11-27T04:16:36.800Z] The best model improves the baseline by 14.43%.
[2025-11-27T04:16:36.800Z] Top recommended movies for user id 72:
[2025-11-27T04:16:36.800Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-27T04:16:36.800Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-27T04:16:36.800Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-27T04:16:36.800Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-27T04:16:36.800Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-27T04:16:36.800Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18531.036 ms) ======
[2025-11-27T04:16:36.800Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-11-27T04:16:36.800Z] GC before operation: completed in 182.964 ms, heap usage 1.763 GB -> 99.209 MB.
[2025-11-27T04:16:40.235Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-27T04:16:42.730Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-27T04:16:46.527Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-27T04:16:49.040Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-27T04:16:50.633Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-27T04:16:52.234Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-27T04:16:54.734Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-27T04:16:56.336Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-27T04:16:56.336Z] 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.
[2025-11-27T04:16:56.336Z] The best model improves the baseline by 14.43%.
[2025-11-27T04:16:56.336Z] Top recommended movies for user id 72:
[2025-11-27T04:16:56.336Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-27T04:16:56.336Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-27T04:16:56.336Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-27T04:16:56.336Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-27T04:16:56.336Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-27T04:16:56.336Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19507.996 ms) ======
[2025-11-27T04:16:56.336Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-11-27T04:16:57.108Z] GC before operation: completed in 157.283 ms, heap usage 584.534 MB -> 93.599 MB.
[2025-11-27T04:16:59.599Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-27T04:17:03.051Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-27T04:17:05.529Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-27T04:17:08.963Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-27T04:17:10.558Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-27T04:17:12.153Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-27T04:17:13.755Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-27T04:17:15.358Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-27T04:17:16.130Z] 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.
[2025-11-27T04:17:16.130Z] The best model improves the baseline by 14.43%.
[2025-11-27T04:17:16.130Z] Top recommended movies for user id 72:
[2025-11-27T04:17:16.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-27T04:17:16.130Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-27T04:17:16.130Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-27T04:17:16.130Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-27T04:17:16.130Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-27T04:17:16.130Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19327.402 ms) ======
[2025-11-27T04:17:16.130Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-11-27T04:17:16.130Z] GC before operation: completed in 175.673 ms, heap usage 1.314 GB -> 96.893 MB.
[2025-11-27T04:17:19.568Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-27T04:17:22.066Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-27T04:17:25.527Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-27T04:17:28.003Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-27T04:17:29.601Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-27T04:17:31.200Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-27T04:17:32.801Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-27T04:17:34.424Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-27T04:17:35.202Z] 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.
[2025-11-27T04:17:35.202Z] The best model improves the baseline by 14.43%.
[2025-11-27T04:17:35.202Z] Top recommended movies for user id 72:
[2025-11-27T04:17:35.202Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-27T04:17:35.202Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-27T04:17:35.202Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-27T04:17:35.202Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-27T04:17:35.202Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-27T04:17:35.202Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18825.305 ms) ======
[2025-11-27T04:17:35.202Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-11-27T04:17:35.202Z] GC before operation: completed in 181.828 ms, heap usage 2.737 GB -> 97.943 MB.
[2025-11-27T04:17:37.861Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-27T04:17:41.367Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-27T04:17:43.852Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-27T04:17:47.293Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-27T04:17:48.066Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-27T04:17:50.547Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-27T04:17:52.174Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-27T04:17:53.789Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-27T04:17:53.789Z] 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.
[2025-11-27T04:17:53.789Z] The best model improves the baseline by 14.43%.
[2025-11-27T04:17:53.789Z] Top recommended movies for user id 72:
[2025-11-27T04:17:53.789Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-27T04:17:53.789Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-27T04:17:53.789Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-27T04:17:53.789Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-27T04:17:53.789Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-27T04:17:53.789Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18649.899 ms) ======
[2025-11-27T04:17:53.789Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-11-27T04:17:53.789Z] GC before operation: completed in 180.299 ms, heap usage 1.271 GB -> 99.140 MB.
[2025-11-27T04:17:57.235Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-27T04:17:59.711Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-27T04:18:03.143Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-27T04:18:05.627Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-27T04:18:07.220Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-27T04:18:08.883Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-27T04:18:10.489Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-27T04:18:12.108Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-27T04:18:12.108Z] 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.
[2025-11-27T04:18:12.108Z] The best model improves the baseline by 14.43%.
[2025-11-27T04:18:12.881Z] Top recommended movies for user id 72:
[2025-11-27T04:18:12.881Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-27T04:18:12.881Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-27T04:18:12.881Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-27T04:18:12.881Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-27T04:18:12.881Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-27T04:18:12.881Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18485.534 ms) ======
[2025-11-27T04:18:12.881Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-11-27T04:18:12.881Z] GC before operation: completed in 169.735 ms, heap usage 996.666 MB -> 97.472 MB.
[2025-11-27T04:18:15.360Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-27T04:18:18.795Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-27T04:18:21.269Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-27T04:18:23.967Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-27T04:18:25.568Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-27T04:18:27.168Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-27T04:18:29.648Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-27T04:18:30.439Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-27T04:18:31.214Z] 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.
[2025-11-27T04:18:31.214Z] The best model improves the baseline by 14.43%.
[2025-11-27T04:18:31.214Z] Top recommended movies for user id 72:
[2025-11-27T04:18:31.214Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-27T04:18:31.214Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-27T04:18:31.214Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-27T04:18:31.214Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-27T04:18:31.214Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-27T04:18:31.214Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18457.349 ms) ======
[2025-11-27T04:18:31.214Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-11-27T04:18:31.214Z] GC before operation: completed in 173.196 ms, heap usage 955.946 MB -> 97.653 MB.
[2025-11-27T04:18:34.720Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-27T04:18:37.198Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-27T04:18:40.665Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-27T04:18:43.152Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-27T04:18:44.751Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-27T04:18:46.350Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-27T04:18:47.956Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-27T04:18:49.557Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-27T04:18:49.557Z] 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.
[2025-11-27T04:18:49.557Z] The best model improves the baseline by 14.43%.
[2025-11-27T04:18:50.331Z] Top recommended movies for user id 72:
[2025-11-27T04:18:50.331Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-27T04:18:50.331Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-27T04:18:50.331Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-27T04:18:50.331Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-27T04:18:50.331Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-27T04:18:50.331Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18512.219 ms) ======
[2025-11-27T04:18:50.331Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-11-27T04:18:50.331Z] GC before operation: completed in 158.208 ms, heap usage 2.432 GB -> 98.317 MB.
[2025-11-27T04:18:52.810Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-27T04:18:56.288Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-27T04:18:58.774Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-27T04:19:01.253Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-27T04:19:02.847Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-27T04:19:04.448Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-27T04:19:06.974Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-27T04:19:07.762Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-27T04:19:08.536Z] 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.
[2025-11-27T04:19:08.536Z] The best model improves the baseline by 14.43%.
[2025-11-27T04:19:08.536Z] Top recommended movies for user id 72:
[2025-11-27T04:19:08.536Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-27T04:19:08.536Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-27T04:19:08.536Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-27T04:19:08.536Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-27T04:19:08.536Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-27T04:19:08.536Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18451.065 ms) ======
[2025-11-27T04:19:08.536Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-11-27T04:19:08.536Z] GC before operation: completed in 168.861 ms, heap usage 602.820 MB -> 94.233 MB.
[2025-11-27T04:19:11.972Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-27T04:19:14.467Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-27T04:19:17.912Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-27T04:19:20.395Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-27T04:19:21.999Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-27T04:19:23.596Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-27T04:19:25.195Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-27T04:19:26.792Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-27T04:19:27.570Z] 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.
[2025-11-27T04:19:27.570Z] The best model improves the baseline by 14.43%.
[2025-11-27T04:19:27.570Z] Top recommended movies for user id 72:
[2025-11-27T04:19:27.570Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-27T04:19:27.570Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-27T04:19:27.570Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-27T04:19:27.570Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-27T04:19:27.570Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-27T04:19:27.570Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18873.041 ms) ======
[2025-11-27T04:19:27.570Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-11-27T04:19:27.570Z] GC before operation: completed in 169.673 ms, heap usage 1.361 GB -> 99.605 MB.
[2025-11-27T04:19:31.008Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-27T04:19:33.492Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-27T04:19:36.932Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-27T04:19:39.416Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-27T04:19:41.023Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-27T04:19:42.622Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-27T04:19:44.232Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-27T04:19:45.827Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-27T04:19:45.827Z] 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.
[2025-11-27T04:19:45.827Z] The best model improves the baseline by 14.43%.
[2025-11-27T04:19:46.599Z] Top recommended movies for user id 72:
[2025-11-27T04:19:46.599Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-27T04:19:46.599Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-27T04:19:46.599Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-27T04:19:46.599Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-27T04:19:46.599Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-27T04:19:46.599Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18557.245 ms) ======
[2025-11-27T04:19:46.599Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-11-27T04:19:46.599Z] GC before operation: completed in 166.220 ms, heap usage 3.089 GB -> 100.795 MB.
[2025-11-27T04:19:49.089Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-27T04:19:52.541Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-27T04:19:55.018Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-27T04:19:57.867Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-27T04:19:59.462Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-27T04:20:01.060Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-27T04:20:02.674Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-27T04:20:04.289Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-27T04:20:05.060Z] 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.
[2025-11-27T04:20:05.060Z] The best model improves the baseline by 14.43%.
[2025-11-27T04:20:05.060Z] Top recommended movies for user id 72:
[2025-11-27T04:20:05.060Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-27T04:20:05.060Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-27T04:20:05.060Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-27T04:20:05.060Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-27T04:20:05.060Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-27T04:20:05.060Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18576.998 ms) ======
[2025-11-27T04:20:05.060Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-11-27T04:20:05.060Z] GC before operation: completed in 174.078 ms, heap usage 2.215 GB -> 99.546 MB.
[2025-11-27T04:20:08.502Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-27T04:20:10.998Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-27T04:20:14.426Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-27T04:20:16.933Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-27T04:20:18.530Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-27T04:20:20.130Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-27T04:20:21.768Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-27T04:20:23.363Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-27T04:20:23.363Z] 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.
[2025-11-27T04:20:23.363Z] The best model improves the baseline by 14.43%.
[2025-11-27T04:20:24.133Z] Top recommended movies for user id 72:
[2025-11-27T04:20:24.133Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-27T04:20:24.133Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-27T04:20:24.133Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-27T04:20:24.133Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-27T04:20:24.133Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-27T04:20:24.133Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18595.818 ms) ======
[2025-11-27T04:20:24.133Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-11-27T04:20:24.133Z] GC before operation: completed in 161.336 ms, heap usage 460.664 MB -> 94.068 MB.
[2025-11-27T04:20:27.573Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-27T04:20:30.085Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-27T04:20:33.516Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-27T04:20:35.992Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-27T04:20:37.587Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-27T04:20:39.189Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-27T04:20:41.659Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-27T04:20:43.298Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-27T04:20:43.298Z] 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.
[2025-11-27T04:20:43.298Z] The best model improves the baseline by 14.43%.
[2025-11-27T04:20:43.298Z] Top recommended movies for user id 72:
[2025-11-27T04:20:43.298Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-27T04:20:43.298Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-27T04:20:43.298Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-27T04:20:43.298Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-27T04:20:43.298Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-27T04:20:43.298Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19529.560 ms) ======
[2025-11-27T04:20:43.298Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-11-27T04:20:44.070Z] GC before operation: completed in 162.831 ms, heap usage 2.814 GB -> 100.730 MB.
[2025-11-27T04:20:46.543Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-27T04:20:49.042Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-27T04:20:52.482Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-27T04:20:54.978Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-27T04:20:56.697Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-27T04:20:58.307Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-27T04:20:59.907Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-27T04:21:01.509Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-27T04:21:01.509Z] 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.
[2025-11-27T04:21:02.282Z] The best model improves the baseline by 14.43%.
[2025-11-27T04:21:02.282Z] Top recommended movies for user id 72:
[2025-11-27T04:21:02.282Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-27T04:21:02.282Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-27T04:21:02.282Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-27T04:21:02.282Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-27T04:21:02.282Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-27T04:21:02.282Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18382.570 ms) ======
[2025-11-27T04:21:03.054Z] -----------------------------------
[2025-11-27T04:21:03.054Z] renaissance-movie-lens_0_PASSED
[2025-11-27T04:21:03.054Z] -----------------------------------
[2025-11-27T04:21:03.054Z]
[2025-11-27T04:21:03.054Z] TEST TEARDOWN:
[2025-11-27T04:21:03.054Z] Nothing to be done for teardown.
[2025-11-27T04:21:03.054Z] renaissance-movie-lens_0 Finish Time: Thu Nov 27 04:21:02 2025 Epoch Time (ms): 1764217262420