renaissance-movie-lens_0
[2025-06-11T20:25:26.734Z] Running test renaissance-movie-lens_0 ...
[2025-06-11T20:25:26.734Z] ===============================================
[2025-06-11T20:25:26.734Z] renaissance-movie-lens_0 Start Time: Wed Jun 11 20:25:26 2025 Epoch Time (ms): 1749673526146
[2025-06-11T20:25:26.734Z] variation: NoOptions
[2025-06-11T20:25:26.734Z] JVM_OPTIONS:
[2025-06-11T20:25:26.734Z] { \
[2025-06-11T20:25:26.734Z] echo ""; echo "TEST SETUP:"; \
[2025-06-11T20:25:26.734Z] echo "Nothing to be done for setup."; \
[2025-06-11T20:25:26.734Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17496723226595/renaissance-movie-lens_0"; \
[2025-06-11T20:25:26.734Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17496723226595/renaissance-movie-lens_0"; \
[2025-06-11T20:25:26.734Z] echo ""; echo "TESTING:"; \
[2025-06-11T20:25:26.734Z] "/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_17496723226595/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-11T20:25:26.734Z] 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_17496723226595/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-11T20:25:26.734Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-11T20:25:26.734Z] echo "Nothing to be done for teardown."; \
[2025-06-11T20:25:26.734Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17496723226595/TestTargetResult";
[2025-06-11T20:25:26.734Z]
[2025-06-11T20:25:26.734Z] TEST SETUP:
[2025-06-11T20:25:26.734Z] Nothing to be done for setup.
[2025-06-11T20:25:26.734Z]
[2025-06-11T20:25:26.734Z] TESTING:
[2025-06-11T20:25:33.588Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-06-11T20:25:45.306Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-11T20:25:45.306Z] Training: 60056, validation: 20285, test: 19854
[2025-06-11T20:25:45.306Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-11T20:25:45.306Z] GC before operation: completed in 141.800 ms, heap usage 625.522 MB -> 75.924 MB.
[2025-06-11T20:25:49.752Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T20:25:53.162Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T20:25:57.633Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T20:26:00.091Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T20:26:02.569Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T20:26:04.172Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T20:26:06.642Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T20:26:08.228Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T20:26:08.228Z] 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.
[2025-06-11T20:26:08.228Z] The best model improves the baseline by 14.43%.
[2025-06-11T20:26:08.995Z] Top recommended movies for user id 72:
[2025-06-11T20:26:08.995Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T20:26:08.995Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T20:26:08.995Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T20:26:08.995Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T20:26:08.995Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T20:26:08.995Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24018.051 ms) ======
[2025-06-11T20:26:08.995Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-11T20:26:08.995Z] GC before operation: completed in 166.697 ms, heap usage 171.813 MB -> 88.467 MB.
[2025-06-11T20:26:12.421Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T20:26:14.880Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T20:26:18.292Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T20:26:21.707Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T20:26:23.293Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T20:26:25.471Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T20:26:27.259Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T20:26:29.369Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T20:26:29.369Z] 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.
[2025-06-11T20:26:29.369Z] The best model improves the baseline by 14.43%.
[2025-06-11T20:26:29.369Z] Top recommended movies for user id 72:
[2025-06-11T20:26:29.369Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T20:26:29.369Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T20:26:29.369Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T20:26:29.369Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T20:26:29.369Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T20:26:29.369Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20724.329 ms) ======
[2025-06-11T20:26:29.369Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-11T20:26:29.369Z] GC before operation: completed in 164.140 ms, heap usage 172.975 MB -> 89.788 MB.
[2025-06-11T20:26:32.811Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T20:26:35.310Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T20:26:38.726Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T20:26:42.136Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T20:26:43.724Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T20:26:45.306Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T20:26:47.770Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T20:26:49.363Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T20:26:49.363Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-11T20:26:49.363Z] The best model improves the baseline by 14.43%.
[2025-06-11T20:26:49.363Z] Top recommended movies for user id 72:
[2025-06-11T20:26:49.363Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T20:26:49.363Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T20:26:49.363Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T20:26:49.363Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T20:26:49.363Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T20:26:49.363Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20039.195 ms) ======
[2025-06-11T20:26:49.363Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-11T20:26:50.133Z] GC before operation: completed in 153.512 ms, heap usage 318.172 MB -> 91.315 MB.
[2025-06-11T20:26:52.606Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T20:26:56.022Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T20:26:59.486Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T20:27:01.945Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T20:27:03.531Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T20:27:06.014Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T20:27:07.600Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T20:27:09.191Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T20:27:09.191Z] 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.
[2025-06-11T20:27:09.191Z] The best model improves the baseline by 14.43%.
[2025-06-11T20:27:09.958Z] Top recommended movies for user id 72:
[2025-06-11T20:27:09.958Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T20:27:09.958Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T20:27:09.958Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T20:27:09.958Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T20:27:09.958Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T20:27:09.958Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19681.925 ms) ======
[2025-06-11T20:27:09.958Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-11T20:27:09.958Z] GC before operation: completed in 176.486 ms, heap usage 2.443 GB -> 97.641 MB.
[2025-06-11T20:27:12.419Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T20:27:15.848Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T20:27:18.315Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T20:27:21.728Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T20:27:23.322Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T20:27:24.913Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T20:27:27.376Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T20:27:28.961Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T20:27:28.961Z] 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.
[2025-06-11T20:27:28.961Z] The best model improves the baseline by 14.43%.
[2025-06-11T20:27:28.961Z] Top recommended movies for user id 72:
[2025-06-11T20:27:28.961Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T20:27:28.961Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T20:27:28.961Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T20:27:28.961Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T20:27:28.961Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T20:27:28.961Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19576.811 ms) ======
[2025-06-11T20:27:28.961Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-11T20:27:29.728Z] GC before operation: completed in 152.738 ms, heap usage 632.485 MB -> 91.720 MB.
[2025-06-11T20:27:32.198Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T20:27:34.686Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T20:27:38.117Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T20:27:41.537Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T20:27:43.132Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T20:27:44.712Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T20:27:46.310Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T20:27:48.777Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T20:27:48.777Z] 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.
[2025-06-11T20:27:48.777Z] The best model improves the baseline by 14.43%.
[2025-06-11T20:27:48.777Z] Top recommended movies for user id 72:
[2025-06-11T20:27:48.777Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T20:27:48.777Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T20:27:48.777Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T20:27:48.777Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T20:27:48.777Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T20:27:48.777Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19483.813 ms) ======
[2025-06-11T20:27:48.777Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-11T20:27:48.777Z] GC before operation: completed in 154.802 ms, heap usage 324.943 MB -> 91.589 MB.
[2025-06-11T20:27:52.217Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T20:27:55.639Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T20:27:58.097Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T20:28:01.512Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T20:28:03.096Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T20:28:04.682Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T20:28:07.147Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T20:28:08.738Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T20:28:08.738Z] 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.
[2025-06-11T20:28:08.738Z] The best model improves the baseline by 14.43%.
[2025-06-11T20:28:09.504Z] Top recommended movies for user id 72:
[2025-06-11T20:28:09.504Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T20:28:09.504Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T20:28:09.504Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T20:28:09.504Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T20:28:09.504Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T20:28:09.504Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20000.259 ms) ======
[2025-06-11T20:28:09.504Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-11T20:28:09.504Z] GC before operation: completed in 147.371 ms, heap usage 162.386 MB -> 91.412 MB.
[2025-06-11T20:28:11.969Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T20:28:15.384Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T20:28:18.829Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T20:28:21.289Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T20:28:22.876Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T20:28:24.487Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T20:28:26.971Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T20:28:28.557Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T20:28:28.557Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-11T20:28:28.557Z] The best model improves the baseline by 14.43%.
[2025-06-11T20:28:29.323Z] Top recommended movies for user id 72:
[2025-06-11T20:28:29.323Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T20:28:29.323Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T20:28:29.323Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T20:28:29.323Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T20:28:29.323Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T20:28:29.323Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19725.321 ms) ======
[2025-06-11T20:28:29.323Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-11T20:28:29.323Z] GC before operation: completed in 130.304 ms, heap usage 320.610 MB -> 91.723 MB.
[2025-06-11T20:28:31.827Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T20:28:35.255Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T20:28:37.720Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T20:28:41.161Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T20:28:42.744Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T20:28:44.328Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T20:28:46.795Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T20:28:48.405Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T20:28:48.405Z] 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.
[2025-06-11T20:28:48.405Z] The best model improves the baseline by 14.43%.
[2025-06-11T20:28:48.405Z] Top recommended movies for user id 72:
[2025-06-11T20:28:48.405Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T20:28:48.405Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T20:28:48.405Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T20:28:48.406Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T20:28:48.406Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T20:28:48.406Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19580.035 ms) ======
[2025-06-11T20:28:48.406Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-11T20:28:49.172Z] GC before operation: completed in 155.187 ms, heap usage 377.857 MB -> 91.733 MB.
[2025-06-11T20:28:51.638Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T20:28:55.048Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T20:28:58.470Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T20:29:00.927Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T20:29:02.508Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T20:29:04.096Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T20:29:06.559Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T20:29:08.145Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T20:29:08.145Z] 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.
[2025-06-11T20:29:08.145Z] The best model improves the baseline by 14.43%.
[2025-06-11T20:29:08.145Z] Top recommended movies for user id 72:
[2025-06-11T20:29:08.145Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T20:29:08.145Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T20:29:08.145Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T20:29:08.145Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T20:29:08.145Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T20:29:08.145Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19371.370 ms) ======
[2025-06-11T20:29:08.145Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-11T20:29:08.145Z] GC before operation: completed in 148.708 ms, heap usage 2.707 GB -> 98.158 MB.
[2025-06-11T20:29:11.568Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T20:29:14.041Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T20:29:16.519Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T20:29:19.975Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T20:29:21.569Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T20:29:23.169Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T20:29:24.770Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T20:29:26.379Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T20:29:26.379Z] 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.
[2025-06-11T20:29:26.379Z] The best model improves the baseline by 14.43%.
[2025-06-11T20:29:26.379Z] Top recommended movies for user id 72:
[2025-06-11T20:29:26.379Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T20:29:26.379Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T20:29:26.379Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T20:29:26.380Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T20:29:26.380Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T20:29:26.380Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18232.689 ms) ======
[2025-06-11T20:29:26.380Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-11T20:29:26.380Z] GC before operation: completed in 139.013 ms, heap usage 487.455 MB -> 94.794 MB.
[2025-06-11T20:29:29.804Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T20:29:32.261Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T20:29:35.731Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T20:29:38.223Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T20:29:39.827Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T20:29:41.433Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T20:29:43.037Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T20:29:44.635Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T20:29:44.635Z] 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.
[2025-06-11T20:29:44.635Z] The best model improves the baseline by 14.43%.
[2025-06-11T20:29:45.410Z] Top recommended movies for user id 72:
[2025-06-11T20:29:45.410Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T20:29:45.410Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T20:29:45.410Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T20:29:45.410Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T20:29:45.410Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T20:29:45.410Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18382.702 ms) ======
[2025-06-11T20:29:45.410Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-11T20:29:45.410Z] GC before operation: completed in 143.577 ms, heap usage 1.588 GB -> 96.907 MB.
[2025-06-11T20:29:47.875Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T20:29:50.347Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T20:29:53.761Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T20:29:56.235Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T20:29:57.830Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T20:30:00.189Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T20:30:01.779Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T20:30:03.365Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T20:30:03.365Z] 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.
[2025-06-11T20:30:03.365Z] The best model improves the baseline by 14.43%.
[2025-06-11T20:30:03.365Z] Top recommended movies for user id 72:
[2025-06-11T20:30:03.365Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T20:30:03.365Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T20:30:03.365Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T20:30:03.365Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T20:30:03.365Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T20:30:03.365Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18346.806 ms) ======
[2025-06-11T20:30:03.365Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-11T20:30:04.130Z] GC before operation: completed in 143.225 ms, heap usage 2.460 GB -> 98.018 MB.
[2025-06-11T20:30:06.605Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T20:30:09.071Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T20:30:12.507Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T20:30:14.983Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T20:30:16.572Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T20:30:18.157Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T20:30:20.631Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T20:30:22.213Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T20:30:22.213Z] 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.
[2025-06-11T20:30:22.213Z] The best model improves the baseline by 14.43%.
[2025-06-11T20:30:22.213Z] Top recommended movies for user id 72:
[2025-06-11T20:30:22.213Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T20:30:22.213Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T20:30:22.213Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T20:30:22.213Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T20:30:22.213Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T20:30:22.213Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18601.687 ms) ======
[2025-06-11T20:30:22.213Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-11T20:30:22.213Z] GC before operation: completed in 147.385 ms, heap usage 131.254 MB -> 95.458 MB.
[2025-06-11T20:30:25.819Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T20:30:28.291Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T20:30:31.717Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T20:30:34.178Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T20:30:35.845Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T20:30:37.440Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T20:30:39.898Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T20:30:41.498Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T20:30:41.498Z] 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.
[2025-06-11T20:30:41.498Z] The best model improves the baseline by 14.43%.
[2025-06-11T20:30:41.498Z] Top recommended movies for user id 72:
[2025-06-11T20:30:41.498Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T20:30:41.498Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T20:30:41.498Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T20:30:41.498Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T20:30:41.498Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T20:30:41.498Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19334.084 ms) ======
[2025-06-11T20:30:41.498Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-11T20:30:42.264Z] GC before operation: completed in 131.729 ms, heap usage 318.655 MB -> 91.913 MB.
[2025-06-11T20:30:44.725Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T20:30:48.193Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T20:30:50.663Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T20:30:54.076Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T20:30:55.671Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T20:30:57.272Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T20:30:59.731Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T20:31:01.320Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T20:31:01.320Z] 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.
[2025-06-11T20:31:01.320Z] The best model improves the baseline by 14.43%.
[2025-06-11T20:31:01.320Z] Top recommended movies for user id 72:
[2025-06-11T20:31:01.320Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T20:31:01.320Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T20:31:01.320Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T20:31:01.320Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T20:31:01.320Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T20:31:01.320Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19457.043 ms) ======
[2025-06-11T20:31:01.320Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-11T20:31:01.320Z] GC before operation: completed in 141.394 ms, heap usage 585.951 MB -> 92.000 MB.
[2025-06-11T20:31:04.730Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T20:31:07.188Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T20:31:10.610Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T20:31:13.078Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T20:31:14.669Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T20:31:16.256Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T20:31:18.715Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T20:31:20.301Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T20:31:20.302Z] 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.
[2025-06-11T20:31:20.302Z] The best model improves the baseline by 14.43%.
[2025-06-11T20:31:20.302Z] Top recommended movies for user id 72:
[2025-06-11T20:31:20.302Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T20:31:20.302Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T20:31:20.302Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T20:31:20.302Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T20:31:20.302Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T20:31:20.302Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18954.059 ms) ======
[2025-06-11T20:31:20.302Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-11T20:31:20.302Z] GC before operation: completed in 137.797 ms, heap usage 186.125 MB -> 91.862 MB.
[2025-06-11T20:31:23.772Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T20:31:26.246Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T20:31:29.663Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T20:31:33.072Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T20:31:34.658Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T20:31:36.238Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T20:31:37.819Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T20:31:40.285Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T20:31:40.285Z] 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.
[2025-06-11T20:31:40.285Z] The best model improves the baseline by 14.43%.
[2025-06-11T20:31:40.285Z] Top recommended movies for user id 72:
[2025-06-11T20:31:40.285Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T20:31:40.285Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T20:31:40.285Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T20:31:40.285Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T20:31:40.285Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T20:31:40.285Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19844.812 ms) ======
[2025-06-11T20:31:40.285Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-11T20:31:41.051Z] GC before operation: completed in 157.790 ms, heap usage 188.218 MB -> 91.462 MB.
[2025-06-11T20:31:43.511Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T20:31:45.985Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T20:31:49.408Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T20:31:51.865Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T20:31:53.450Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T20:31:55.045Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T20:31:56.625Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T20:31:58.220Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T20:31:58.985Z] 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.
[2025-06-11T20:31:58.985Z] The best model improves the baseline by 14.43%.
[2025-06-11T20:31:58.985Z] Top recommended movies for user id 72:
[2025-06-11T20:31:58.985Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T20:31:58.985Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T20:31:58.985Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T20:31:58.985Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T20:31:58.985Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T20:31:58.985Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18286.996 ms) ======
[2025-06-11T20:31:58.985Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-11T20:31:58.985Z] GC before operation: completed in 149.456 ms, heap usage 3.240 GB -> 98.167 MB.
[2025-06-11T20:32:02.406Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T20:32:04.863Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T20:32:07.330Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T20:32:10.759Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T20:32:12.346Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T20:32:13.944Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T20:32:15.540Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T20:32:17.146Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T20:32:17.146Z] 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.
[2025-06-11T20:32:17.146Z] The best model improves the baseline by 14.43%.
[2025-06-11T20:32:17.917Z] Top recommended movies for user id 72:
[2025-06-11T20:32:17.917Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T20:32:17.917Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T20:32:17.917Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T20:32:17.917Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T20:32:17.917Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T20:32:17.917Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18497.843 ms) ======
[2025-06-11T20:32:18.684Z] -----------------------------------
[2025-06-11T20:32:18.684Z] renaissance-movie-lens_0_PASSED
[2025-06-11T20:32:18.684Z] -----------------------------------
[2025-06-11T20:32:18.684Z]
[2025-06-11T20:32:18.684Z] TEST TEARDOWN:
[2025-06-11T20:32:18.684Z] Nothing to be done for teardown.
[2025-06-11T20:32:18.684Z] renaissance-movie-lens_0 Finish Time: Wed Jun 11 20:32:17 2025 Epoch Time (ms): 1749673937926