renaissance-movie-lens_0
[2025-06-27T21:23:14.568Z] Running test renaissance-movie-lens_0 ...
[2025-06-27T21:23:14.568Z] ===============================================
[2025-06-27T21:23:14.568Z] renaissance-movie-lens_0 Start Time: Fri Jun 27 21:23:13 2025 Epoch Time (ms): 1751059393891
[2025-06-27T21:23:14.568Z] variation: NoOptions
[2025-06-27T21:23:14.568Z] JVM_OPTIONS:
[2025-06-27T21:23:14.568Z] { \
[2025-06-27T21:23:14.568Z] echo ""; echo "TEST SETUP:"; \
[2025-06-27T21:23:14.568Z] echo "Nothing to be done for setup."; \
[2025-06-27T21:23:14.568Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17510574384059/renaissance-movie-lens_0"; \
[2025-06-27T21:23:14.568Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17510574384059/renaissance-movie-lens_0"; \
[2025-06-27T21:23:14.568Z] echo ""; echo "TESTING:"; \
[2025-06-27T21:23:14.568Z] "/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_17510574384059/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-27T21:23:14.568Z] 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_17510574384059/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-27T21:23:14.568Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-27T21:23:14.568Z] echo "Nothing to be done for teardown."; \
[2025-06-27T21:23:14.568Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17510574384059/TestTargetResult";
[2025-06-27T21:23:14.568Z]
[2025-06-27T21:23:14.568Z] TEST SETUP:
[2025-06-27T21:23:14.568Z] Nothing to be done for setup.
[2025-06-27T21:23:14.568Z]
[2025-06-27T21:23:14.568Z] TESTING:
[2025-06-27T21:25:03.871Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads.
[2025-06-27T21:25:15.614Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-27T21:25:15.614Z] Training: 60056, validation: 20285, test: 19854
[2025-06-27T21:25:15.614Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-27T21:25:15.614Z] GC before operation: completed in 137.681 ms, heap usage 407.893 MB -> 75.515 MB.
[2025-06-27T21:25:22.515Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-27T21:25:25.971Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-27T21:25:31.631Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-27T21:25:35.068Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-27T21:25:37.689Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-27T21:25:40.357Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-27T21:25:46.014Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-27T21:25:48.502Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-27T21:25:49.277Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-27T21:25:49.277Z] The best model improves the baseline by 14.43%.
[2025-06-27T21:25:49.277Z] Top recommended movies for user id 72:
[2025-06-27T21:25:49.277Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-27T21:25:49.277Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-27T21:25:49.277Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-27T21:25:49.277Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-27T21:25:49.277Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-27T21:25:49.277Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (33215.335 ms) ======
[2025-06-27T21:25:49.277Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-27T21:25:49.277Z] GC before operation: completed in 184.396 ms, heap usage 629.163 MB -> 88.766 MB.
[2025-06-27T21:25:52.721Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-27T21:25:56.167Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-27T21:26:00.657Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-27T21:26:04.091Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-27T21:26:06.837Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-27T21:26:08.445Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-27T21:26:10.930Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-27T21:26:13.423Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-27T21:26:13.423Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-27T21:26:13.423Z] The best model improves the baseline by 14.43%.
[2025-06-27T21:26:13.423Z] Top recommended movies for user id 72:
[2025-06-27T21:26:13.423Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-27T21:26:13.423Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-27T21:26:13.423Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-27T21:26:13.423Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-27T21:26:13.423Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-27T21:26:13.423Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24354.070 ms) ======
[2025-06-27T21:26:13.423Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-27T21:26:14.199Z] GC before operation: completed in 128.885 ms, heap usage 245.200 MB -> 89.681 MB.
[2025-06-27T21:26:17.656Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-27T21:26:21.170Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-27T21:26:25.655Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-27T21:26:29.114Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-27T21:26:30.718Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-27T21:26:33.213Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-27T21:26:35.704Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-27T21:26:37.333Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-27T21:26:38.113Z] 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.
[2025-06-27T21:26:38.114Z] The best model improves the baseline by 14.43%.
[2025-06-27T21:26:38.114Z] Top recommended movies for user id 72:
[2025-06-27T21:26:38.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-27T21:26:38.114Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-27T21:26:38.114Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-27T21:26:38.114Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-27T21:26:38.114Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-27T21:26:38.114Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (24066.601 ms) ======
[2025-06-27T21:26:38.114Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-27T21:26:38.114Z] GC before operation: completed in 129.315 ms, heap usage 326.700 MB -> 90.627 MB.
[2025-06-27T21:26:41.550Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-27T21:26:44.990Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-27T21:27:01.785Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-27T21:27:04.280Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-27T21:27:06.762Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-27T21:27:08.384Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-27T21:27:11.836Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-27T21:27:13.445Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-27T21:27:14.240Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-27T21:27:14.240Z] The best model improves the baseline by 14.43%.
[2025-06-27T21:27:14.240Z] Top recommended movies for user id 72:
[2025-06-27T21:27:14.240Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-27T21:27:14.240Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-27T21:27:14.240Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-27T21:27:14.240Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-27T21:27:14.240Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-27T21:27:14.240Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (36303.133 ms) ======
[2025-06-27T21:27:14.240Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-27T21:27:14.240Z] GC before operation: completed in 135.438 ms, heap usage 338.497 MB -> 90.791 MB.
[2025-06-27T21:27:17.764Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-27T21:27:21.248Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-27T21:27:25.729Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-27T21:27:29.159Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-27T21:27:30.760Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-27T21:27:32.352Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-27T21:27:34.844Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-27T21:27:37.348Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-27T21:27:37.348Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-27T21:27:37.348Z] The best model improves the baseline by 14.43%.
[2025-06-27T21:27:37.348Z] Top recommended movies for user id 72:
[2025-06-27T21:27:37.348Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-27T21:27:37.348Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-27T21:27:37.348Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-27T21:27:37.348Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-27T21:27:37.348Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-27T21:27:37.348Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22925.700 ms) ======
[2025-06-27T21:27:37.348Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-27T21:27:37.348Z] GC before operation: completed in 131.905 ms, heap usage 542.574 MB -> 91.089 MB.
[2025-06-27T21:27:40.784Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-27T21:27:44.233Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-27T21:27:48.716Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-27T21:27:52.201Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-27T21:27:53.810Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-27T21:27:56.308Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-27T21:27:58.795Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-27T21:28:00.401Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-27T21:28:01.174Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-27T21:28:01.174Z] The best model improves the baseline by 14.43%.
[2025-06-27T21:28:01.174Z] Top recommended movies for user id 72:
[2025-06-27T21:28:01.174Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-27T21:28:01.174Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-27T21:28:01.174Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-27T21:28:01.174Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-27T21:28:01.174Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-27T21:28:01.174Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (23505.265 ms) ======
[2025-06-27T21:28:01.174Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-27T21:28:01.174Z] GC before operation: completed in 130.729 ms, heap usage 241.625 MB -> 91.229 MB.
[2025-06-27T21:28:04.631Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-27T21:28:12.940Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-27T21:28:21.263Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-27T21:28:23.748Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-27T21:28:26.235Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-27T21:28:27.839Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-27T21:28:30.325Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-27T21:28:32.809Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-27T21:28:32.809Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-27T21:28:32.809Z] The best model improves the baseline by 14.43%.
[2025-06-27T21:28:32.809Z] Top recommended movies for user id 72:
[2025-06-27T21:28:32.809Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-27T21:28:32.809Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-27T21:28:32.809Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-27T21:28:32.809Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-27T21:28:32.809Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-27T21:28:32.809Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (31837.045 ms) ======
[2025-06-27T21:28:32.809Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-27T21:28:33.582Z] GC before operation: completed in 153.528 ms, heap usage 309.430 MB -> 91.085 MB.
[2025-06-27T21:28:36.110Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-27T21:28:39.546Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-27T21:28:44.054Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-27T21:28:47.499Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-27T21:28:49.982Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-27T21:28:51.686Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-27T21:28:54.175Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-27T21:28:55.783Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-27T21:28:56.556Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-27T21:28:56.556Z] The best model improves the baseline by 14.43%.
[2025-06-27T21:28:56.556Z] Top recommended movies for user id 72:
[2025-06-27T21:28:56.556Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-27T21:28:56.556Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-27T21:28:56.556Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-27T21:28:56.556Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-27T21:28:56.556Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-27T21:28:56.556Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23346.558 ms) ======
[2025-06-27T21:28:56.556Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-27T21:28:56.556Z] GC before operation: completed in 135.924 ms, heap usage 1.195 GB -> 96.501 MB.
[2025-06-27T21:28:59.998Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-27T21:29:03.440Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-27T21:29:07.924Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-27T21:29:11.361Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-27T21:29:13.876Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-27T21:29:15.473Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-27T21:29:23.775Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-27T21:29:27.215Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-27T21:29:27.991Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-27T21:29:27.991Z] The best model improves the baseline by 14.43%.
[2025-06-27T21:29:27.991Z] Top recommended movies for user id 72:
[2025-06-27T21:29:27.991Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-27T21:29:27.991Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-27T21:29:27.991Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-27T21:29:27.991Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-27T21:29:27.991Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-27T21:29:27.991Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (31315.903 ms) ======
[2025-06-27T21:29:27.991Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-27T21:29:27.991Z] GC before operation: completed in 127.829 ms, heap usage 274.295 MB -> 91.072 MB.
[2025-06-27T21:29:31.431Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-27T21:29:34.870Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-27T21:29:40.493Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-27T21:29:42.981Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-27T21:29:45.458Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-27T21:29:47.057Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-27T21:29:49.763Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-27T21:29:51.523Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-27T21:29:52.295Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-27T21:29:52.295Z] The best model improves the baseline by 14.43%.
[2025-06-27T21:29:52.295Z] Top recommended movies for user id 72:
[2025-06-27T21:29:52.295Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-27T21:29:52.295Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-27T21:29:52.295Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-27T21:29:52.295Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-27T21:29:52.295Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-27T21:29:52.295Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (24314.536 ms) ======
[2025-06-27T21:29:52.295Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-27T21:29:52.295Z] GC before operation: completed in 124.207 ms, heap usage 308.685 MB -> 91.426 MB.
[2025-06-27T21:29:55.733Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-27T21:29:59.173Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-27T21:30:03.808Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-27T21:30:06.288Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-27T21:30:08.764Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-27T21:30:10.376Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-27T21:30:12.862Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-27T21:30:14.470Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-27T21:30:14.470Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-27T21:30:15.242Z] The best model improves the baseline by 14.43%.
[2025-06-27T21:30:15.242Z] Top recommended movies for user id 72:
[2025-06-27T21:30:15.242Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-27T21:30:15.242Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-27T21:30:15.242Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-27T21:30:15.242Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-27T21:30:15.242Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-27T21:30:15.242Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22489.780 ms) ======
[2025-06-27T21:30:15.242Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-27T21:30:15.242Z] GC before operation: completed in 123.548 ms, heap usage 138.827 MB -> 91.368 MB.
[2025-06-27T21:30:18.700Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-27T21:30:22.152Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-27T21:30:26.629Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-27T21:30:33.067Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-27T21:30:35.545Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-27T21:30:38.026Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-27T21:30:40.683Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-27T21:30:43.178Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-27T21:30:43.178Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-27T21:30:43.178Z] The best model improves the baseline by 14.43%.
[2025-06-27T21:30:43.178Z] Top recommended movies for user id 72:
[2025-06-27T21:30:43.178Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-27T21:30:43.178Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-27T21:30:43.178Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-27T21:30:43.178Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-27T21:30:43.178Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-27T21:30:43.178Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (28231.814 ms) ======
[2025-06-27T21:30:43.178Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-27T21:30:43.178Z] GC before operation: completed in 116.635 ms, heap usage 109.304 MB -> 91.463 MB.
[2025-06-27T21:30:46.625Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-27T21:30:50.446Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-27T21:30:54.930Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-27T21:30:58.383Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-27T21:30:59.983Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-27T21:31:02.473Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-27T21:31:05.051Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-27T21:31:06.656Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-27T21:31:06.656Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-27T21:31:06.656Z] The best model improves the baseline by 14.43%.
[2025-06-27T21:31:07.431Z] Top recommended movies for user id 72:
[2025-06-27T21:31:07.431Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-27T21:31:07.431Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-27T21:31:07.431Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-27T21:31:07.431Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-27T21:31:07.431Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-27T21:31:07.431Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23533.678 ms) ======
[2025-06-27T21:31:07.431Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-27T21:31:07.431Z] GC before operation: completed in 128.693 ms, heap usage 2.371 GB -> 97.679 MB.
[2025-06-27T21:31:09.928Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-27T21:31:13.412Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-27T21:31:17.886Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-27T21:31:21.335Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-27T21:31:22.932Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-27T21:31:24.599Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-27T21:31:28.083Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-27T21:31:29.687Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-27T21:31:29.687Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-27T21:31:29.687Z] The best model improves the baseline by 14.43%.
[2025-06-27T21:31:30.470Z] Top recommended movies for user id 72:
[2025-06-27T21:31:30.470Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-27T21:31:30.470Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-27T21:31:30.470Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-27T21:31:30.470Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-27T21:31:30.470Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-27T21:31:30.470Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23013.776 ms) ======
[2025-06-27T21:31:30.470Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-27T21:31:30.470Z] GC before operation: completed in 117.654 ms, heap usage 341.529 MB -> 91.321 MB.
[2025-06-27T21:31:33.953Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-27T21:31:36.439Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-27T21:31:52.595Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-27T21:31:55.189Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-27T21:31:57.683Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-27T21:31:59.281Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-27T21:32:02.724Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-27T21:32:04.326Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-27T21:32:05.100Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-27T21:32:05.100Z] The best model improves the baseline by 14.43%.
[2025-06-27T21:32:05.100Z] Top recommended movies for user id 72:
[2025-06-27T21:32:05.100Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-27T21:32:05.100Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-27T21:32:05.100Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-27T21:32:05.100Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-27T21:32:05.100Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-27T21:32:05.100Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (34705.546 ms) ======
[2025-06-27T21:32:05.100Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-27T21:32:05.100Z] GC before operation: completed in 132.215 ms, heap usage 1.528 GB -> 97.013 MB.
[2025-06-27T21:32:08.554Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-27T21:32:12.001Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-27T21:32:17.627Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-27T21:32:21.081Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-27T21:32:22.689Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-27T21:32:25.183Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-27T21:32:27.679Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-27T21:32:29.285Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-27T21:32:30.060Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-27T21:32:30.060Z] The best model improves the baseline by 14.43%.
[2025-06-27T21:32:30.060Z] Top recommended movies for user id 72:
[2025-06-27T21:32:30.060Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-27T21:32:30.060Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-27T21:32:30.060Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-27T21:32:30.060Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-27T21:32:30.060Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-27T21:32:30.060Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (24746.327 ms) ======
[2025-06-27T21:32:30.060Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-27T21:32:30.060Z] GC before operation: completed in 125.643 ms, heap usage 2.591 GB -> 97.748 MB.
[2025-06-27T21:32:32.537Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-27T21:32:35.999Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-27T21:32:40.477Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-27T21:32:43.944Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-27T21:32:45.571Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-27T21:32:47.179Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-27T21:32:50.614Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-27T21:32:53.131Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-27T21:32:53.131Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-27T21:32:53.131Z] The best model improves the baseline by 14.43%.
[2025-06-27T21:32:53.131Z] Top recommended movies for user id 72:
[2025-06-27T21:32:53.131Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-27T21:32:53.131Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-27T21:32:53.131Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-27T21:32:53.131Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-27T21:32:53.132Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-27T21:32:53.132Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23288.732 ms) ======
[2025-06-27T21:32:53.132Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-27T21:32:53.132Z] GC before operation: completed in 121.951 ms, heap usage 173.856 MB -> 91.214 MB.
[2025-06-27T21:32:56.568Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-27T21:33:00.027Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-27T21:33:05.716Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-27T21:33:08.201Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-27T21:33:10.696Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-27T21:33:12.295Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-27T21:33:15.728Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-27T21:33:17.330Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-27T21:33:18.102Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-27T21:33:18.102Z] The best model improves the baseline by 14.43%.
[2025-06-27T21:33:18.102Z] Top recommended movies for user id 72:
[2025-06-27T21:33:18.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-27T21:33:18.102Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-27T21:33:18.102Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-27T21:33:18.102Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-27T21:33:18.102Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-27T21:33:18.102Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (24508.944 ms) ======
[2025-06-27T21:33:18.102Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-27T21:33:18.102Z] GC before operation: completed in 145.347 ms, heap usage 272.861 MB -> 91.353 MB.
[2025-06-27T21:33:21.557Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-27T21:33:26.075Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-27T21:33:30.560Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-27T21:33:33.043Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-27T21:33:35.523Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-27T21:33:38.027Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-27T21:33:41.468Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-27T21:33:43.072Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-27T21:33:43.844Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-27T21:33:43.844Z] The best model improves the baseline by 14.43%.
[2025-06-27T21:33:43.844Z] Top recommended movies for user id 72:
[2025-06-27T21:33:43.844Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-27T21:33:43.844Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-27T21:33:43.844Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-27T21:33:43.844Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-27T21:33:43.844Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-27T21:33:43.844Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (25659.674 ms) ======
[2025-06-27T21:33:43.844Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-27T21:33:43.844Z] GC before operation: completed in 138.610 ms, heap usage 2.211 GB -> 97.645 MB.
[2025-06-27T21:33:47.304Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-27T21:33:50.136Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-27T21:34:00.035Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-27T21:34:03.495Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-27T21:34:05.997Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-27T21:34:07.622Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-27T21:34:10.101Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-27T21:34:11.706Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-27T21:34:12.479Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-27T21:34:12.479Z] The best model improves the baseline by 14.43%.
[2025-06-27T21:34:12.479Z] Top recommended movies for user id 72:
[2025-06-27T21:34:12.479Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-27T21:34:12.479Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-27T21:34:12.479Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-27T21:34:12.479Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-27T21:34:12.479Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-27T21:34:12.479Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (28427.153 ms) ======
[2025-06-27T21:34:13.250Z] -----------------------------------
[2025-06-27T21:34:13.250Z] renaissance-movie-lens_0_PASSED
[2025-06-27T21:34:13.250Z] -----------------------------------
[2025-06-27T21:34:13.250Z]
[2025-06-27T21:34:13.250Z] TEST TEARDOWN:
[2025-06-27T21:34:13.250Z] Nothing to be done for teardown.
[2025-06-27T21:34:13.250Z] renaissance-movie-lens_0 Finish Time: Fri Jun 27 21:34:12 2025 Epoch Time (ms): 1751060052727