renaissance-movie-lens_0
[2026-02-26T14:39:19.983Z] Running test renaissance-movie-lens_0 ...
[2026-02-26T14:39:19.983Z] ===============================================
[2026-02-26T14:39:19.983Z] renaissance-movie-lens_0 Start Time: Thu Feb 26 14:39:19 2026 Epoch Time (ms): 1772116759045
[2026-02-26T14:39:19.983Z] variation: NoOptions
[2026-02-26T14:39:19.983Z] JVM_OPTIONS:
[2026-02-26T14:39:19.983Z] { \
[2026-02-26T14:39:19.983Z] echo ""; echo "TEST SETUP:"; \
[2026-02-26T14:39:19.983Z] echo "Nothing to be done for setup."; \
[2026-02-26T14:39:19.983Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17721159293204/renaissance-movie-lens_0"; \
[2026-02-26T14:39:19.983Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17721159293204/renaissance-movie-lens_0"; \
[2026-02-26T14:39:19.983Z] echo ""; echo "TESTING:"; \
[2026-02-26T14:39:19.983Z] "/home/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17721159293204/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-26T14:39:19.983Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17721159293204/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-26T14:39:19.983Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-26T14:39:19.983Z] echo "Nothing to be done for teardown."; \
[2026-02-26T14:39:19.983Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17721159293204/TestTargetResult";
[2026-02-26T14:39:19.983Z]
[2026-02-26T14:39:19.983Z] TEST SETUP:
[2026-02-26T14:39:19.983Z] Nothing to be done for setup.
[2026-02-26T14:39:19.983Z]
[2026-02-26T14:39:19.983Z] TESTING:
[2026-02-26T14:39:26.886Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2026-02-26T14:39:38.594Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-26T14:39:38.594Z] Training: 60056, validation: 20285, test: 19854
[2026-02-26T14:39:38.594Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-26T14:39:38.594Z] GC before operation: completed in 148.921 ms, heap usage 498.874 MB -> 75.582 MB.
[2026-02-26T14:39:44.223Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T14:39:47.672Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T14:39:52.161Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T14:39:54.647Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T14:39:57.140Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T14:39:58.735Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T14:40:01.233Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T14:40:03.716Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T14:40:03.716Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-02-26T14:40:03.716Z] The best model improves the baseline by 14.43%.
[2026-02-26T14:40:03.716Z] Top recommended movies for user id 72:
[2026-02-26T14:40:03.716Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-26T14:40:03.716Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-26T14:40:03.716Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-26T14:40:03.716Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-26T14:40:03.716Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-26T14:40:03.716Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25351.167 ms) ======
[2026-02-26T14:40:03.716Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-26T14:40:04.493Z] GC before operation: completed in 177.532 ms, heap usage 158.528 MB -> 89.471 MB.
[2026-02-26T14:40:07.954Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T14:40:10.436Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T14:40:13.888Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T14:40:17.353Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T14:40:18.953Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T14:40:21.615Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T14:40:23.238Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T14:40:24.837Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T14:40:25.612Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-02-26T14:40:25.612Z] The best model improves the baseline by 14.43%.
[2026-02-26T14:40:25.612Z] Top recommended movies for user id 72:
[2026-02-26T14:40:25.612Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-26T14:40:25.612Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-26T14:40:25.612Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-26T14:40:25.612Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-26T14:40:25.612Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-26T14:40:25.612Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21434.077 ms) ======
[2026-02-26T14:40:25.612Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-26T14:40:25.612Z] GC before operation: completed in 164.326 ms, heap usage 301.925 MB -> 90.035 MB.
[2026-02-26T14:40:29.045Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T14:40:31.700Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T14:40:35.132Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T14:40:38.572Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T14:40:40.172Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T14:40:42.650Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T14:40:44.249Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T14:40:46.729Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T14:40:46.729Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-02-26T14:40:46.729Z] The best model improves the baseline by 14.43%.
[2026-02-26T14:40:47.502Z] Top recommended movies for user id 72:
[2026-02-26T14:40:47.502Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-26T14:40:47.502Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-26T14:40:47.502Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-26T14:40:47.502Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-26T14:40:47.502Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-26T14:40:47.502Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21510.839 ms) ======
[2026-02-26T14:40:47.502Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-26T14:40:47.502Z] GC before operation: completed in 172.865 ms, heap usage 322.669 MB -> 91.227 MB.
[2026-02-26T14:40:50.945Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T14:40:54.380Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T14:40:57.843Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T14:41:01.291Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T14:41:02.889Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T14:41:04.492Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T14:41:06.988Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T14:41:08.604Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T14:41:08.604Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-02-26T14:41:08.604Z] The best model improves the baseline by 14.43%.
[2026-02-26T14:41:09.380Z] Top recommended movies for user id 72:
[2026-02-26T14:41:09.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-26T14:41:09.380Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-26T14:41:09.380Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-26T14:41:09.380Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-26T14:41:09.380Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-26T14:41:09.380Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21726.250 ms) ======
[2026-02-26T14:41:09.380Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-26T14:41:09.380Z] GC before operation: completed in 154.465 ms, heap usage 235.110 MB -> 90.955 MB.
[2026-02-26T14:41:12.834Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T14:41:15.337Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T14:41:18.954Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T14:41:22.402Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T14:41:24.000Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T14:41:26.483Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T14:41:28.088Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T14:41:30.570Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T14:41:30.570Z] 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.
[2026-02-26T14:41:30.570Z] The best model improves the baseline by 14.43%.
[2026-02-26T14:41:30.570Z] Top recommended movies for user id 72:
[2026-02-26T14:41:30.570Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-26T14:41:30.570Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-26T14:41:30.570Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-26T14:41:30.570Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-26T14:41:30.570Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-26T14:41:30.570Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21572.757 ms) ======
[2026-02-26T14:41:30.570Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-26T14:41:31.343Z] GC before operation: completed in 158.933 ms, heap usage 167.438 MB -> 90.862 MB.
[2026-02-26T14:41:34.788Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T14:41:37.268Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T14:41:40.710Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T14:41:44.142Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T14:41:45.747Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T14:41:48.241Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T14:41:49.838Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T14:41:52.331Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T14:41:52.331Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-02-26T14:41:52.331Z] The best model improves the baseline by 14.43%.
[2026-02-26T14:41:52.331Z] Top recommended movies for user id 72:
[2026-02-26T14:41:52.331Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-26T14:41:52.331Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-26T14:41:52.331Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-26T14:41:52.331Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-26T14:41:52.331Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-26T14:41:52.331Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21580.698 ms) ======
[2026-02-26T14:41:52.331Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-26T14:41:53.104Z] GC before operation: completed in 158.548 ms, heap usage 231.318 MB -> 91.600 MB.
[2026-02-26T14:41:55.584Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T14:41:59.020Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T14:42:02.454Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T14:42:05.897Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T14:42:07.501Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T14:42:09.098Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T14:42:10.699Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T14:42:12.309Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T14:42:13.084Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-02-26T14:42:13.085Z] The best model improves the baseline by 14.43%.
[2026-02-26T14:42:13.085Z] Top recommended movies for user id 72:
[2026-02-26T14:42:13.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-26T14:42:13.085Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-26T14:42:13.085Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-26T14:42:13.085Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-26T14:42:13.085Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-26T14:42:13.085Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20194.775 ms) ======
[2026-02-26T14:42:13.085Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-26T14:42:13.085Z] GC before operation: completed in 187.658 ms, heap usage 1.663 GB -> 96.980 MB.
[2026-02-26T14:42:16.906Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T14:42:19.402Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T14:42:22.839Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T14:42:25.323Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T14:42:26.923Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T14:42:28.543Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T14:42:31.020Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T14:42:32.619Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T14:42:32.619Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-02-26T14:42:32.619Z] The best model improves the baseline by 14.43%.
[2026-02-26T14:42:32.619Z] Top recommended movies for user id 72:
[2026-02-26T14:42:32.619Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-26T14:42:32.619Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-26T14:42:32.619Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-26T14:42:32.619Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-26T14:42:32.619Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-26T14:42:32.619Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19815.074 ms) ======
[2026-02-26T14:42:32.619Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-26T14:42:33.391Z] GC before operation: completed in 160.176 ms, heap usage 2.782 GB -> 97.845 MB.
[2026-02-26T14:42:35.875Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T14:42:39.322Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T14:42:41.806Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T14:42:44.315Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T14:42:45.919Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T14:42:47.519Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T14:42:49.997Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T14:42:51.605Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T14:42:51.605Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-02-26T14:42:51.605Z] The best model improves the baseline by 14.43%.
[2026-02-26T14:42:51.605Z] Top recommended movies for user id 72:
[2026-02-26T14:42:51.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-26T14:42:51.605Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-26T14:42:51.605Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-26T14:42:51.605Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-26T14:42:51.605Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-26T14:42:51.605Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18622.280 ms) ======
[2026-02-26T14:42:51.605Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-26T14:42:51.605Z] GC before operation: completed in 155.650 ms, heap usage 2.196 GB -> 97.595 MB.
[2026-02-26T14:42:55.079Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T14:42:57.564Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T14:43:01.032Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T14:43:03.520Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T14:43:05.136Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T14:43:06.753Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T14:43:08.364Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T14:43:09.967Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T14:43:09.967Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-02-26T14:43:09.967Z] The best model improves the baseline by 14.43%.
[2026-02-26T14:43:10.783Z] Top recommended movies for user id 72:
[2026-02-26T14:43:10.783Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-26T14:43:10.783Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-26T14:43:10.783Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-26T14:43:10.783Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-26T14:43:10.783Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-26T14:43:10.783Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18582.306 ms) ======
[2026-02-26T14:43:10.783Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-26T14:43:10.783Z] GC before operation: completed in 148.838 ms, heap usage 208.656 MB -> 91.707 MB.
[2026-02-26T14:43:13.285Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T14:43:16.764Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T14:43:19.243Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T14:43:21.732Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T14:43:24.225Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T14:43:25.821Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T14:43:27.447Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T14:43:29.091Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T14:43:29.091Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-02-26T14:43:29.091Z] The best model improves the baseline by 14.43%.
[2026-02-26T14:43:29.091Z] Top recommended movies for user id 72:
[2026-02-26T14:43:29.091Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-26T14:43:29.091Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-26T14:43:29.091Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-26T14:43:29.091Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-26T14:43:29.091Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-26T14:43:29.091Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18706.892 ms) ======
[2026-02-26T14:43:29.091Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-26T14:43:29.875Z] GC before operation: completed in 157.675 ms, heap usage 2.578 GB -> 97.768 MB.
[2026-02-26T14:43:32.369Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T14:43:34.852Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T14:43:38.287Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T14:43:40.776Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T14:43:42.369Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T14:43:43.973Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T14:43:45.593Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T14:43:47.191Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T14:43:47.969Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-02-26T14:43:47.969Z] The best model improves the baseline by 14.43%.
[2026-02-26T14:43:47.969Z] Top recommended movies for user id 72:
[2026-02-26T14:43:47.969Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-26T14:43:47.969Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-26T14:43:47.969Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-26T14:43:47.969Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-26T14:43:47.969Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-26T14:43:47.969Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18558.716 ms) ======
[2026-02-26T14:43:47.969Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-26T14:43:47.969Z] GC before operation: completed in 155.565 ms, heap usage 2.468 GB -> 98.097 MB.
[2026-02-26T14:43:51.404Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T14:43:53.888Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T14:43:57.339Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T14:43:59.836Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T14:44:01.436Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T14:44:03.050Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T14:44:05.708Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T14:44:07.355Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T14:44:07.355Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-02-26T14:44:07.355Z] The best model improves the baseline by 14.43%.
[2026-02-26T14:44:07.355Z] Top recommended movies for user id 72:
[2026-02-26T14:44:07.355Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-26T14:44:07.355Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-26T14:44:07.355Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-26T14:44:07.355Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-26T14:44:07.355Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-26T14:44:07.355Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19471.749 ms) ======
[2026-02-26T14:44:07.355Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-26T14:44:08.127Z] GC before operation: completed in 137.674 ms, heap usage 351.163 MB -> 91.996 MB.
[2026-02-26T14:44:10.605Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T14:44:14.050Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T14:44:17.520Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T14:44:20.025Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T14:44:22.534Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T14:44:24.174Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T14:44:25.775Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T14:44:28.262Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T14:44:28.262Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-02-26T14:44:28.262Z] The best model improves the baseline by 14.43%.
[2026-02-26T14:44:28.262Z] Top recommended movies for user id 72:
[2026-02-26T14:44:28.262Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-26T14:44:28.262Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-26T14:44:28.262Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-26T14:44:28.262Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-26T14:44:28.262Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-26T14:44:28.262Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20531.034 ms) ======
[2026-02-26T14:44:28.262Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-26T14:44:28.262Z] GC before operation: completed in 127.911 ms, heap usage 320.098 MB -> 91.772 MB.
[2026-02-26T14:44:31.736Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T14:44:34.232Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T14:44:37.675Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T14:44:40.169Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T14:44:42.649Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T14:44:44.252Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T14:44:45.853Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T14:44:48.336Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T14:44:48.336Z] 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.
[2026-02-26T14:44:48.336Z] The best model improves the baseline by 14.43%.
[2026-02-26T14:44:48.336Z] Top recommended movies for user id 72:
[2026-02-26T14:44:48.336Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-26T14:44:48.336Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-26T14:44:48.336Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-26T14:44:48.336Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-26T14:44:48.336Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-26T14:44:48.336Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19962.562 ms) ======
[2026-02-26T14:44:48.336Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-26T14:44:48.336Z] GC before operation: completed in 133.937 ms, heap usage 318.872 MB -> 92.045 MB.
[2026-02-26T14:44:51.782Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T14:44:54.269Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T14:44:57.706Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T14:45:01.143Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T14:45:03.100Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T14:45:04.704Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T14:45:06.299Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T14:45:07.911Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T14:45:08.683Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-02-26T14:45:08.683Z] The best model improves the baseline by 14.43%.
[2026-02-26T14:45:08.683Z] Top recommended movies for user id 72:
[2026-02-26T14:45:08.683Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-26T14:45:08.683Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-26T14:45:08.683Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-26T14:45:08.683Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-26T14:45:08.683Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-26T14:45:08.683Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20234.257 ms) ======
[2026-02-26T14:45:08.683Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-26T14:45:08.683Z] GC before operation: completed in 137.456 ms, heap usage 161.999 MB -> 91.804 MB.
[2026-02-26T14:45:12.134Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T14:45:15.580Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T14:45:18.082Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T14:45:21.526Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T14:45:23.123Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T14:45:24.721Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T14:45:27.239Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T14:45:28.841Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T14:45:28.841Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-02-26T14:45:28.841Z] The best model improves the baseline by 14.43%.
[2026-02-26T14:45:29.616Z] Top recommended movies for user id 72:
[2026-02-26T14:45:29.616Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-26T14:45:29.616Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-26T14:45:29.616Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-26T14:45:29.616Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-26T14:45:29.616Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-26T14:45:29.616Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20334.990 ms) ======
[2026-02-26T14:45:29.616Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-26T14:45:29.616Z] GC before operation: completed in 149.782 ms, heap usage 2.787 GB -> 98.455 MB.
[2026-02-26T14:45:32.274Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T14:45:35.710Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T14:45:39.172Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T14:45:41.650Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T14:45:43.249Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T14:45:45.743Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T14:45:47.338Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T14:45:48.940Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T14:45:48.940Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-02-26T14:45:48.940Z] The best model improves the baseline by 14.43%.
[2026-02-26T14:45:49.727Z] Top recommended movies for user id 72:
[2026-02-26T14:45:49.727Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-26T14:45:49.727Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-26T14:45:49.727Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-26T14:45:49.727Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-26T14:45:49.727Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-26T14:45:49.727Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20020.578 ms) ======
[2026-02-26T14:45:49.727Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-26T14:45:49.727Z] GC before operation: completed in 138.207 ms, heap usage 362.056 MB -> 91.796 MB.
[2026-02-26T14:45:52.217Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T14:45:55.651Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T14:45:59.118Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T14:46:01.675Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T14:46:03.278Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T14:46:04.894Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T14:46:06.497Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T14:46:08.097Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T14:46:08.870Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-02-26T14:46:08.870Z] The best model improves the baseline by 14.43%.
[2026-02-26T14:46:08.870Z] Top recommended movies for user id 72:
[2026-02-26T14:46:08.870Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-26T14:46:08.870Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-26T14:46:08.870Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-26T14:46:08.870Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-26T14:46:08.870Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-26T14:46:08.870Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19362.585 ms) ======
[2026-02-26T14:46:08.870Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-26T14:46:08.870Z] GC before operation: completed in 146.105 ms, heap usage 1.453 GB -> 97.978 MB.
[2026-02-26T14:46:12.315Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-26T14:46:14.794Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-26T14:46:18.242Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-26T14:46:21.679Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-26T14:46:23.280Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-26T14:46:24.889Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-26T14:46:27.380Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-26T14:46:28.980Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-26T14:46:28.980Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-02-26T14:46:28.980Z] The best model improves the baseline by 14.43%.
[2026-02-26T14:46:29.752Z] Top recommended movies for user id 72:
[2026-02-26T14:46:29.752Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-26T14:46:29.752Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-26T14:46:29.752Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-26T14:46:29.752Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-26T14:46:29.752Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-26T14:46:29.752Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20421.828 ms) ======
[2026-02-26T14:46:29.752Z] -----------------------------------
[2026-02-26T14:46:29.752Z] renaissance-movie-lens_0_PASSED
[2026-02-26T14:46:29.752Z] -----------------------------------
[2026-02-26T14:46:29.752Z]
[2026-02-26T14:46:29.752Z] TEST TEARDOWN:
[2026-02-26T14:46:29.752Z] Nothing to be done for teardown.
[2026-02-26T14:46:29.752Z] renaissance-movie-lens_0 Finish Time: Thu Feb 26 14:46:29 2026 Epoch Time (ms): 1772117189599