renaissance-movie-lens_0
[2026-02-04T23:18:16.748Z] Running test renaissance-movie-lens_0 ...
[2026-02-04T23:18:16.748Z] ===============================================
[2026-02-04T23:18:16.748Z] renaissance-movie-lens_0 Start Time: Wed Feb 4 23:18:16 2026 Epoch Time (ms): 1770247096242
[2026-02-04T23:18:16.748Z] variation: NoOptions
[2026-02-04T23:18:16.748Z] JVM_OPTIONS:
[2026-02-04T23:18:16.748Z] { \
[2026-02-04T23:18:16.748Z] echo ""; echo "TEST SETUP:"; \
[2026-02-04T23:18:16.748Z] echo "Nothing to be done for setup."; \
[2026-02-04T23:18:16.748Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17702455819805/renaissance-movie-lens_0"; \
[2026-02-04T23:18:16.748Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17702455819805/renaissance-movie-lens_0"; \
[2026-02-04T23:18:16.748Z] echo ""; echo "TESTING:"; \
[2026-02-04T23:18:16.748Z] "/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_17702455819805/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-04T23:18:16.748Z] 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_17702455819805/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-04T23:18:16.748Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-04T23:18:16.748Z] echo "Nothing to be done for teardown."; \
[2026-02-04T23:18:16.748Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17702455819805/TestTargetResult";
[2026-02-04T23:18:16.748Z]
[2026-02-04T23:18:16.748Z] TEST SETUP:
[2026-02-04T23:18:16.748Z] Nothing to be done for setup.
[2026-02-04T23:18:16.748Z]
[2026-02-04T23:18:16.748Z] TESTING:
[2026-02-04T23:18:52.198Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads.
[2026-02-04T23:19:11.167Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-04T23:19:11.167Z] Training: 60056, validation: 20285, test: 19854
[2026-02-04T23:19:11.167Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-04T23:19:11.167Z] GC before operation: completed in 139.713 ms, heap usage 372.357 MB -> 75.658 MB.
[2026-02-04T23:19:15.690Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:19:20.368Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:19:23.857Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:19:28.358Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:19:29.990Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:19:32.471Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:19:34.970Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:19:36.567Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:19:37.344Z] 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.
[2026-02-04T23:19:37.344Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:19:37.344Z] Top recommended movies for user id 72:
[2026-02-04T23:19:37.344Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:19:37.344Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:19:37.344Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:19:37.344Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:19:37.344Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:19:37.344Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27609.338 ms) ======
[2026-02-04T23:19:37.344Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-04T23:19:38.119Z] GC before operation: completed in 178.133 ms, heap usage 158.580 MB -> 86.964 MB.
[2026-02-04T23:19:41.562Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:19:45.003Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:19:49.509Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:19:53.010Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:19:54.784Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:19:58.229Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:20:05.163Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:20:08.632Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:20:08.632Z] 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.
[2026-02-04T23:20:08.632Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:20:08.632Z] Top recommended movies for user id 72:
[2026-02-04T23:20:08.632Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:20:08.632Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:20:08.632Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:20:08.632Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:20:08.632Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:20:08.632Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (30992.643 ms) ======
[2026-02-04T23:20:08.632Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-04T23:20:08.632Z] GC before operation: completed in 167.802 ms, heap usage 316.322 MB -> 89.938 MB.
[2026-02-04T23:20:12.111Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:20:15.580Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:20:20.075Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:20:23.520Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:20:25.132Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:20:27.624Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:20:29.246Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:20:31.779Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:20:31.779Z] 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.
[2026-02-04T23:20:31.779Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:20:31.779Z] Top recommended movies for user id 72:
[2026-02-04T23:20:31.779Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:20:31.779Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:20:31.779Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:20:31.779Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:20:31.779Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:20:31.779Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23150.362 ms) ======
[2026-02-04T23:20:31.779Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-04T23:20:32.557Z] GC before operation: completed in 143.204 ms, heap usage 969.282 MB -> 94.494 MB.
[2026-02-04T23:20:35.082Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:20:39.620Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:20:43.090Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:20:46.544Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:20:49.032Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:20:50.631Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:20:53.122Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:20:54.730Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:20:55.523Z] 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.
[2026-02-04T23:20:55.523Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:20:55.523Z] Top recommended movies for user id 72:
[2026-02-04T23:20:55.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:20:55.523Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:20:55.523Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:20:55.523Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:20:55.523Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:20:55.523Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23479.772 ms) ======
[2026-02-04T23:20:55.523Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-04T23:20:55.523Z] GC before operation: completed in 140.908 ms, heap usage 322.110 MB -> 90.973 MB.
[2026-02-04T23:20:59.017Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:21:02.470Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:21:06.974Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:21:10.417Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:21:14.967Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:21:17.587Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:21:20.143Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:21:21.805Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:21:22.600Z] 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.
[2026-02-04T23:21:22.600Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:21:22.600Z] Top recommended movies for user id 72:
[2026-02-04T23:21:22.600Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:21:22.600Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:21:22.600Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:21:22.600Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:21:22.600Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:21:22.600Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (26977.632 ms) ======
[2026-02-04T23:21:22.600Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-04T23:21:23.387Z] GC before operation: completed in 158.169 ms, heap usage 316.637 MB -> 90.840 MB.
[2026-02-04T23:21:26.846Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:21:30.296Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:21:34.787Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:21:38.248Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:21:40.741Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:21:43.228Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:21:45.746Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:21:47.347Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:21:48.128Z] 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.
[2026-02-04T23:21:48.128Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:21:48.128Z] Top recommended movies for user id 72:
[2026-02-04T23:21:48.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:21:48.128Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:21:48.128Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:21:48.128Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:21:48.128Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:21:48.128Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (25151.411 ms) ======
[2026-02-04T23:21:48.128Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-04T23:21:48.128Z] GC before operation: completed in 191.624 ms, heap usage 319.904 MB -> 91.362 MB.
[2026-02-04T23:21:51.589Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:21:55.116Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:21:59.605Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:22:03.059Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:22:05.576Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:22:08.061Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:22:10.560Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:22:12.167Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:22:12.941Z] 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.
[2026-02-04T23:22:12.941Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:22:12.941Z] Top recommended movies for user id 72:
[2026-02-04T23:22:12.941Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:22:12.941Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:22:12.941Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:22:12.941Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:22:12.941Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:22:12.941Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24668.797 ms) ======
[2026-02-04T23:22:12.941Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-04T23:22:12.941Z] GC before operation: completed in 164.040 ms, heap usage 359.743 MB -> 91.364 MB.
[2026-02-04T23:22:17.464Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:22:21.993Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:22:27.655Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:22:30.143Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:22:32.638Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:22:35.122Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:22:37.608Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:22:40.113Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:22:40.113Z] 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.
[2026-02-04T23:22:40.113Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:22:40.113Z] Top recommended movies for user id 72:
[2026-02-04T23:22:40.113Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:22:40.113Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:22:40.113Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:22:40.113Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:22:40.113Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:22:40.113Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (27253.224 ms) ======
[2026-02-04T23:22:40.113Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-04T23:22:40.887Z] GC before operation: completed in 170.862 ms, heap usage 2.523 GB -> 97.861 MB.
[2026-02-04T23:22:44.333Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:22:47.773Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:22:52.259Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:22:55.714Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:22:58.230Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:22:59.876Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:23:02.365Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:23:05.049Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:23:05.049Z] 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.
[2026-02-04T23:23:05.049Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:23:05.050Z] Top recommended movies for user id 72:
[2026-02-04T23:23:05.050Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:23:05.050Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:23:05.050Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:23:05.050Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:23:05.050Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:23:05.050Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (24693.147 ms) ======
[2026-02-04T23:23:05.050Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-04T23:23:05.825Z] GC before operation: completed in 202.860 ms, heap usage 2.198 GB -> 97.546 MB.
[2026-02-04T23:23:09.275Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:23:12.749Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:23:17.268Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:23:20.734Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:23:23.235Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:23:26.697Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:23:30.145Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:23:32.633Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:23:32.633Z] 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.
[2026-02-04T23:23:32.633Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:23:33.407Z] Top recommended movies for user id 72:
[2026-02-04T23:23:33.407Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:23:33.407Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:23:33.407Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:23:33.407Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:23:33.407Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:23:33.407Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (27608.002 ms) ======
[2026-02-04T23:23:33.407Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-04T23:23:33.407Z] GC before operation: completed in 168.168 ms, heap usage 319.142 MB -> 91.661 MB.
[2026-02-04T23:23:36.852Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:23:40.305Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:23:43.756Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:23:47.213Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:23:49.715Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:23:51.317Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:23:54.773Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:23:56.378Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:23:56.378Z] 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.
[2026-02-04T23:23:57.151Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:23:57.151Z] Top recommended movies for user id 72:
[2026-02-04T23:23:57.151Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:23:57.151Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:23:57.151Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:23:57.151Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:23:57.151Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:23:57.151Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (23686.712 ms) ======
[2026-02-04T23:23:57.151Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-04T23:23:57.151Z] GC before operation: completed in 142.772 ms, heap usage 143.023 MB -> 90.996 MB.
[2026-02-04T23:24:00.604Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:24:04.057Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:24:07.508Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:24:10.950Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:24:13.445Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:24:15.042Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:24:17.533Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:24:20.028Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:24:20.028Z] 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.
[2026-02-04T23:24:20.028Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:24:20.808Z] Top recommended movies for user id 72:
[2026-02-04T23:24:20.808Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:24:20.808Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:24:20.808Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:24:20.808Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:24:20.808Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:24:20.808Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (23352.529 ms) ======
[2026-02-04T23:24:20.808Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-04T23:24:20.809Z] GC before operation: completed in 126.946 ms, heap usage 226.624 MB -> 91.309 MB.
[2026-02-04T23:24:23.300Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:24:26.797Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:24:33.712Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:24:37.158Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:24:38.760Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:24:40.378Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:24:42.892Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:24:44.494Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:24:45.269Z] 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.
[2026-02-04T23:24:45.269Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:24:45.269Z] Top recommended movies for user id 72:
[2026-02-04T23:24:45.269Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:24:45.269Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:24:45.269Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:24:45.269Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:24:45.269Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:24:45.269Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (24677.779 ms) ======
[2026-02-04T23:24:45.269Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-04T23:24:45.269Z] GC before operation: completed in 154.370 ms, heap usage 2.344 GB -> 97.788 MB.
[2026-02-04T23:24:48.718Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:24:52.155Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:24:55.723Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:24:59.180Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:25:00.786Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:25:02.385Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:25:04.907Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:25:07.400Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:25:07.400Z] 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.
[2026-02-04T23:25:07.400Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:25:07.400Z] Top recommended movies for user id 72:
[2026-02-04T23:25:07.400Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:25:07.400Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:25:07.400Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:25:07.400Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:25:07.400Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:25:07.400Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (22044.907 ms) ======
[2026-02-04T23:25:07.400Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-04T23:25:07.400Z] GC before operation: completed in 117.508 ms, heap usage 317.205 MB -> 91.513 MB.
[2026-02-04T23:25:10.850Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:25:14.301Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:25:17.742Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:25:21.181Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:25:23.668Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:25:25.288Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:25:27.778Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:25:29.382Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:25:30.164Z] 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.
[2026-02-04T23:25:30.164Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:25:30.164Z] Top recommended movies for user id 72:
[2026-02-04T23:25:30.164Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:25:30.164Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:25:30.164Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:25:30.164Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:25:30.164Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:25:30.164Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (22636.298 ms) ======
[2026-02-04T23:25:30.164Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-04T23:25:30.164Z] GC before operation: completed in 121.658 ms, heap usage 319.683 MB -> 91.738 MB.
[2026-02-04T23:25:33.911Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:25:38.392Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:25:46.720Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:25:49.200Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:25:50.857Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:25:53.385Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:25:54.998Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:25:56.622Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:25:57.408Z] 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.
[2026-02-04T23:25:57.408Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:25:57.408Z] Top recommended movies for user id 72:
[2026-02-04T23:25:57.408Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:25:57.408Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:25:57.408Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:25:57.408Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:25:57.408Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:25:57.408Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (27193.540 ms) ======
[2026-02-04T23:25:57.408Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-04T23:25:57.408Z] GC before operation: completed in 115.717 ms, heap usage 323.847 MB -> 91.607 MB.
[2026-02-04T23:26:00.841Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:26:04.284Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:26:07.733Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:26:11.177Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:26:13.745Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:26:15.365Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:26:17.845Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:26:19.454Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:26:19.454Z] 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.
[2026-02-04T23:26:19.454Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:26:20.228Z] Top recommended movies for user id 72:
[2026-02-04T23:26:20.228Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:26:20.228Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:26:20.228Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:26:20.228Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:26:20.228Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:26:20.228Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22226.405 ms) ======
[2026-02-04T23:26:20.228Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-04T23:26:20.228Z] GC before operation: completed in 118.749 ms, heap usage 373.533 MB -> 91.650 MB.
[2026-02-04T23:26:23.677Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:26:26.185Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:26:29.657Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:26:33.098Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:26:34.715Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:26:37.200Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:26:38.802Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:26:41.315Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:26:41.315Z] 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.
[2026-02-04T23:26:41.315Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:26:41.315Z] Top recommended movies for user id 72:
[2026-02-04T23:26:41.315Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:26:41.315Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:26:41.315Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:26:41.315Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:26:41.315Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:26:41.315Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21413.345 ms) ======
[2026-02-04T23:26:41.315Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-04T23:26:41.315Z] GC before operation: completed in 119.352 ms, heap usage 319.663 MB -> 91.574 MB.
[2026-02-04T23:26:44.759Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:26:51.839Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:26:55.292Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:26:57.782Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:27:00.268Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:27:01.883Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:27:04.368Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:27:05.973Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:27:05.973Z] 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.
[2026-02-04T23:27:05.973Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:27:05.973Z] Top recommended movies for user id 72:
[2026-02-04T23:27:05.973Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:27:05.973Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:27:05.973Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:27:05.973Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:27:05.973Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:27:05.973Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (24669.148 ms) ======
[2026-02-04T23:27:05.973Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-04T23:27:05.973Z] GC before operation: completed in 133.988 ms, heap usage 329.102 MB -> 91.515 MB.
[2026-02-04T23:27:09.414Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:27:12.851Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:27:17.349Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:27:19.830Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:27:22.342Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:27:23.943Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:27:26.432Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:27:28.037Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:27:28.808Z] 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.
[2026-02-04T23:27:28.808Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:27:28.808Z] Top recommended movies for user id 72:
[2026-02-04T23:27:28.808Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:27:28.808Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:27:28.808Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:27:28.808Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:27:28.808Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:27:28.808Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (22485.159 ms) ======
[2026-02-04T23:27:29.579Z] -----------------------------------
[2026-02-04T23:27:29.579Z] renaissance-movie-lens_0_PASSED
[2026-02-04T23:27:29.579Z] -----------------------------------
[2026-02-04T23:27:29.579Z]
[2026-02-04T23:27:29.579Z] TEST TEARDOWN:
[2026-02-04T23:27:29.579Z] Nothing to be done for teardown.
[2026-02-04T23:27:29.579Z] renaissance-movie-lens_0 Finish Time: Wed Feb 4 23:27:29 2026 Epoch Time (ms): 1770247649411