renaissance-movie-lens_0
[2025-05-29T05:15:13.197Z] Running test renaissance-movie-lens_0 ...
[2025-05-29T05:15:13.197Z] ===============================================
[2025-05-29T05:15:13.197Z] renaissance-movie-lens_0 Start Time: Thu May 29 06:15:12 2025 Epoch Time (ms): 1748495712218
[2025-05-29T05:15:13.197Z] variation: NoOptions
[2025-05-29T05:15:13.197Z] JVM_OPTIONS:
[2025-05-29T05:15:13.197Z] { \
[2025-05-29T05:15:13.197Z] echo ""; echo "TEST SETUP:"; \
[2025-05-29T05:15:13.197Z] echo "Nothing to be done for setup."; \
[2025-05-29T05:15:13.197Z] mkdir -p "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17484832519162/renaissance-movie-lens_0"; \
[2025-05-29T05:15:13.198Z] cd "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17484832519162/renaissance-movie-lens_0"; \
[2025-05-29T05:15:13.198Z] echo ""; echo "TESTING:"; \
[2025-05-29T05:15:13.198Z] "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17484832519162/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-05-29T05:15:13.198Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17484832519162/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-05-29T05:15:13.198Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-05-29T05:15:13.198Z] echo "Nothing to be done for teardown."; \
[2025-05-29T05:15:13.198Z] } 2>&1 | tee -a "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17484832519162/TestTargetResult";
[2025-05-29T05:15:13.198Z]
[2025-05-29T05:15:13.198Z] TEST SETUP:
[2025-05-29T05:15:13.198Z] Nothing to be done for setup.
[2025-05-29T05:15:13.198Z]
[2025-05-29T05:15:13.198Z] TESTING:
[2025-05-29T05:15:19.317Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-05-29T05:15:30.454Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-05-29T05:15:30.454Z] Training: 60056, validation: 20285, test: 19854
[2025-05-29T05:15:30.454Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-05-29T05:15:30.454Z] GC before operation: completed in 119.392 ms, heap usage 237.525 MB -> 74.987 MB.
[2025-05-29T05:15:58.607Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T05:16:18.111Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T05:16:41.557Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T05:16:57.753Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T05:17:08.873Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T05:17:18.031Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T05:17:31.471Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T05:17:42.612Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T05:17:42.612Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-29T05:17:42.612Z] The best model improves the baseline by 14.43%.
[2025-05-29T05:17:42.612Z] Top recommended movies for user id 72:
[2025-05-29T05:17:42.612Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T05:17:42.612Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T05:17:42.612Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T05:17:42.612Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T05:17:42.612Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T05:17:42.612Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (132051.046 ms) ======
[2025-05-29T05:17:42.612Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-05-29T05:17:42.966Z] GC before operation: completed in 224.842 ms, heap usage 487.432 MB -> 90.707 MB.
[2025-05-29T05:18:06.477Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T05:18:38.512Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T05:19:06.679Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T05:19:30.137Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T05:19:39.295Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T05:19:50.456Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T05:20:03.892Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T05:20:15.037Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T05:20:15.037Z] 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.
[2025-05-29T05:20:15.037Z] The best model improves the baseline by 14.43%.
[2025-05-29T05:20:15.037Z] Top recommended movies for user id 72:
[2025-05-29T05:20:15.037Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T05:20:15.037Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T05:20:15.037Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T05:20:15.037Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T05:20:15.037Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T05:20:15.037Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (152322.850 ms) ======
[2025-05-29T05:20:15.037Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-05-29T05:20:15.390Z] GC before operation: completed in 209.106 ms, heap usage 847.015 MB -> 95.668 MB.
[2025-05-29T05:20:38.851Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T05:21:02.302Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T05:21:30.533Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T05:21:50.119Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T05:22:03.563Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T05:22:14.683Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T05:22:31.066Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T05:22:40.259Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T05:22:40.613Z] 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.
[2025-05-29T05:22:40.613Z] The best model improves the baseline by 14.43%.
[2025-05-29T05:22:40.965Z] Top recommended movies for user id 72:
[2025-05-29T05:22:40.965Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T05:22:40.965Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T05:22:40.965Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T05:22:40.965Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T05:22:40.965Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T05:22:40.965Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (145582.678 ms) ======
[2025-05-29T05:22:40.965Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-05-29T05:22:41.319Z] GC before operation: completed in 268.741 ms, heap usage 643.183 MB -> 96.328 MB.
[2025-05-29T05:23:04.798Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T05:23:28.252Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T05:23:56.419Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T05:24:12.669Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T05:24:23.792Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T05:24:34.907Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T05:24:48.358Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T05:24:59.465Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T05:24:59.465Z] 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.
[2025-05-29T05:24:59.465Z] The best model improves the baseline by 14.43%.
[2025-05-29T05:24:59.465Z] Top recommended movies for user id 72:
[2025-05-29T05:24:59.465Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T05:24:59.465Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T05:24:59.465Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T05:24:59.465Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T05:24:59.465Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T05:24:59.465Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (137923.677 ms) ======
[2025-05-29T05:24:59.465Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-05-29T05:24:59.465Z] GC before operation: completed in 192.923 ms, heap usage 362.590 MB -> 96.344 MB.
[2025-05-29T05:25:22.959Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T05:25:46.412Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T05:26:09.894Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T05:26:33.349Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T05:26:46.780Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T05:26:55.965Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T05:27:09.410Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T05:27:20.537Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T05:27:20.537Z] 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.
[2025-05-29T05:27:20.537Z] The best model improves the baseline by 14.43%.
[2025-05-29T05:27:20.537Z] Top recommended movies for user id 72:
[2025-05-29T05:27:20.537Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T05:27:20.537Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T05:27:20.537Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T05:27:20.537Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T05:27:20.537Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T05:27:20.537Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (140919.674 ms) ======
[2025-05-29T05:27:20.537Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-05-29T05:27:20.537Z] GC before operation: completed in 308.974 ms, heap usage 1.177 GB -> 110.901 MB.
[2025-05-29T05:27:44.022Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T05:28:07.504Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T05:28:30.973Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T05:28:50.482Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T05:29:03.927Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T05:29:13.087Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T05:29:26.528Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T05:29:37.656Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T05:29:37.656Z] 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.
[2025-05-29T05:29:37.656Z] The best model improves the baseline by 14.43%.
[2025-05-29T05:29:37.656Z] Top recommended movies for user id 72:
[2025-05-29T05:29:37.656Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T05:29:37.656Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T05:29:37.656Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T05:29:37.656Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T05:29:37.656Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T05:29:37.656Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (136729.351 ms) ======
[2025-05-29T05:29:37.656Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-05-29T05:29:37.656Z] GC before operation: completed in 189.979 ms, heap usage 198.470 MB -> 96.647 MB.
[2025-05-29T05:30:09.064Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T05:30:32.523Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T05:31:02.441Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T05:31:24.656Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T05:31:35.895Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T05:31:47.029Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T05:32:00.473Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T05:32:11.593Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T05:32:11.593Z] 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.
[2025-05-29T05:32:11.593Z] The best model improves the baseline by 14.43%.
[2025-05-29T05:32:11.593Z] Top recommended movies for user id 72:
[2025-05-29T05:32:11.593Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T05:32:11.593Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T05:32:11.593Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T05:32:11.593Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T05:32:11.593Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T05:32:11.593Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (153504.747 ms) ======
[2025-05-29T05:32:11.593Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-05-29T05:32:11.593Z] GC before operation: completed in 185.356 ms, heap usage 339.479 MB -> 96.571 MB.
[2025-05-29T05:32:35.233Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T05:32:58.729Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T05:33:22.194Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T05:33:45.659Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T05:33:56.797Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T05:34:07.921Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T05:34:24.143Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T05:34:39.144Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T05:34:39.144Z] 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.
[2025-05-29T05:34:39.144Z] The best model improves the baseline by 14.43%.
[2025-05-29T05:34:39.502Z] Top recommended movies for user id 72:
[2025-05-29T05:34:39.502Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T05:34:39.502Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T05:34:39.502Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T05:34:39.502Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T05:34:39.502Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T05:34:39.502Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (148279.158 ms) ======
[2025-05-29T05:34:39.502Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-05-29T05:34:39.502Z] GC before operation: completed in 212.939 ms, heap usage 788.966 MB -> 97.112 MB.
[2025-05-29T05:35:12.532Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T05:35:32.049Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T05:36:00.239Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T05:36:16.458Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T05:36:29.906Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T05:36:41.030Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T05:36:57.260Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T05:37:06.457Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T05:37:06.457Z] 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.
[2025-05-29T05:37:06.457Z] The best model improves the baseline by 14.43%.
[2025-05-29T05:37:06.457Z] Top recommended movies for user id 72:
[2025-05-29T05:37:06.457Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T05:37:06.457Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T05:37:06.457Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T05:37:06.457Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T05:37:06.457Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T05:37:06.457Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (146884.834 ms) ======
[2025-05-29T05:37:06.457Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-05-29T05:37:06.810Z] GC before operation: completed in 190.749 ms, heap usage 424.893 MB -> 96.627 MB.
[2025-05-29T05:37:39.392Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T05:38:02.876Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T05:38:26.381Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T05:38:49.880Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T05:39:01.027Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T05:39:12.204Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T05:39:29.134Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T05:39:40.252Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T05:39:40.252Z] 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.
[2025-05-29T05:39:40.252Z] The best model improves the baseline by 14.43%.
[2025-05-29T05:39:40.252Z] Top recommended movies for user id 72:
[2025-05-29T05:39:40.252Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T05:39:40.252Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T05:39:40.252Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T05:39:40.252Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T05:39:40.252Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T05:39:40.252Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (153402.313 ms) ======
[2025-05-29T05:39:40.252Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-05-29T05:39:40.252Z] GC before operation: completed in 244.747 ms, heap usage 870.498 MB -> 97.196 MB.
[2025-05-29T05:40:03.725Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T05:40:27.203Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T05:40:55.379Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T05:41:11.607Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T05:41:25.061Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T05:41:36.181Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T05:41:52.412Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T05:42:03.529Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T05:42:03.529Z] 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.
[2025-05-29T05:42:03.529Z] The best model improves the baseline by 14.43%.
[2025-05-29T05:42:03.529Z] Top recommended movies for user id 72:
[2025-05-29T05:42:03.529Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T05:42:03.529Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T05:42:03.529Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T05:42:03.529Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T05:42:03.529Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T05:42:03.529Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (142961.552 ms) ======
[2025-05-29T05:42:03.529Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-05-29T05:42:03.529Z] GC before operation: completed in 224.257 ms, heap usage 739.668 MB -> 94.489 MB.
[2025-05-29T05:42:31.697Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T05:42:51.236Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T05:43:19.406Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T05:43:38.971Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T05:43:50.113Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T05:44:01.252Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T05:44:14.691Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T05:44:25.809Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T05:44:25.809Z] 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.
[2025-05-29T05:44:25.809Z] The best model improves the baseline by 14.43%.
[2025-05-29T05:44:25.810Z] Top recommended movies for user id 72:
[2025-05-29T05:44:25.810Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T05:44:25.810Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T05:44:25.810Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T05:44:25.810Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T05:44:25.810Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T05:44:25.810Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (141626.296 ms) ======
[2025-05-29T05:44:25.810Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-05-29T05:44:25.810Z] GC before operation: completed in 188.998 ms, heap usage 674.043 MB -> 97.037 MB.
[2025-05-29T05:44:49.287Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T05:45:12.755Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T05:45:49.748Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T05:46:05.968Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T05:46:17.085Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T05:46:28.199Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T05:46:41.648Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T05:46:52.780Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T05:46:52.780Z] 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.
[2025-05-29T05:46:52.780Z] The best model improves the baseline by 14.43%.
[2025-05-29T05:46:52.780Z] Top recommended movies for user id 72:
[2025-05-29T05:46:52.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T05:46:52.780Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T05:46:52.780Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T05:46:52.780Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T05:46:52.780Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T05:46:52.780Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (146968.546 ms) ======
[2025-05-29T05:46:52.780Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-05-29T05:46:52.780Z] GC before operation: completed in 191.796 ms, heap usage 147.004 MB -> 96.870 MB.
[2025-05-29T05:47:16.254Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T05:47:39.748Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T05:48:07.943Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T05:48:24.156Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T05:48:35.369Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T05:48:45.789Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T05:49:01.997Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T05:49:15.438Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T05:49:15.439Z] 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.
[2025-05-29T05:49:15.439Z] The best model improves the baseline by 14.43%.
[2025-05-29T05:49:15.439Z] Top recommended movies for user id 72:
[2025-05-29T05:49:15.439Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T05:49:15.439Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T05:49:15.439Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T05:49:15.439Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T05:49:15.439Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T05:49:15.439Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (142316.932 ms) ======
[2025-05-29T05:49:15.439Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-05-29T05:49:15.439Z] GC before operation: completed in 199.606 ms, heap usage 560.729 MB -> 96.799 MB.
[2025-05-29T05:49:39.030Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T05:50:07.198Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T05:50:39.531Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T05:50:59.061Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T05:51:12.502Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T05:51:25.950Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T05:51:39.398Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T05:51:50.519Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T05:51:50.519Z] 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.
[2025-05-29T05:51:50.519Z] The best model improves the baseline by 14.43%.
[2025-05-29T05:51:50.519Z] Top recommended movies for user id 72:
[2025-05-29T05:51:50.519Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T05:51:50.519Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T05:51:50.519Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T05:51:50.519Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T05:51:50.519Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T05:51:50.519Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (155185.153 ms) ======
[2025-05-29T05:51:50.519Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-05-29T05:51:50.519Z] GC before operation: completed in 229.171 ms, heap usage 904.843 MB -> 97.299 MB.
[2025-05-29T05:52:20.269Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T05:52:50.883Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T05:53:21.380Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T05:53:37.594Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T05:53:51.092Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T05:54:07.856Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T05:54:21.407Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T05:54:32.528Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T05:54:32.529Z] 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.
[2025-05-29T05:54:32.529Z] The best model improves the baseline by 14.43%.
[2025-05-29T05:54:32.529Z] Top recommended movies for user id 72:
[2025-05-29T05:54:32.529Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T05:54:32.529Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T05:54:32.529Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T05:54:32.529Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T05:54:32.529Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T05:54:32.529Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (161980.286 ms) ======
[2025-05-29T05:54:32.529Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-05-29T05:54:32.885Z] GC before operation: completed in 327.282 ms, heap usage 1.360 GB -> 97.141 MB.
[2025-05-29T05:55:02.188Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T05:55:25.684Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T05:55:49.150Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T05:56:08.712Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T05:56:22.184Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T05:56:37.231Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T05:56:53.482Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T05:57:09.209Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T05:57:09.209Z] 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.
[2025-05-29T05:57:09.209Z] The best model improves the baseline by 14.43%.
[2025-05-29T05:57:09.209Z] Top recommended movies for user id 72:
[2025-05-29T05:57:09.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T05:57:09.209Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T05:57:09.209Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T05:57:09.209Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T05:57:09.209Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T05:57:09.209Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (156054.954 ms) ======
[2025-05-29T05:57:09.209Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-05-29T05:57:09.209Z] GC before operation: completed in 213.960 ms, heap usage 179.372 MB -> 94.469 MB.
[2025-05-29T05:57:43.834Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T05:58:03.494Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T05:58:27.930Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T05:58:47.441Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T05:59:00.888Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T05:59:10.053Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T05:59:26.306Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T05:59:37.451Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T05:59:37.451Z] 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.
[2025-05-29T05:59:37.451Z] The best model improves the baseline by 14.43%.
[2025-05-29T05:59:37.451Z] Top recommended movies for user id 72:
[2025-05-29T05:59:37.451Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T05:59:37.451Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T05:59:37.451Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T05:59:37.451Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T05:59:37.451Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T05:59:37.451Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (148521.738 ms) ======
[2025-05-29T05:59:37.451Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-05-29T05:59:37.814Z] GC before operation: completed in 225.750 ms, heap usage 766.116 MB -> 97.041 MB.
[2025-05-29T06:00:05.981Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T06:00:29.501Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T06:00:57.673Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T06:01:17.218Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T06:01:30.664Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T06:01:41.840Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T06:01:55.288Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T06:02:06.426Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T06:02:06.426Z] 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.
[2025-05-29T06:02:06.426Z] The best model improves the baseline by 14.43%.
[2025-05-29T06:02:06.426Z] Top recommended movies for user id 72:
[2025-05-29T06:02:06.426Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T06:02:06.426Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T06:02:06.426Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T06:02:06.426Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T06:02:06.426Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T06:02:06.426Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (148857.336 ms) ======
[2025-05-29T06:02:06.426Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-05-29T06:02:06.781Z] GC before operation: completed in 194.817 ms, heap usage 256.429 MB -> 94.440 MB.
[2025-05-29T06:02:30.280Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T06:02:53.849Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T06:03:22.021Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T06:03:41.553Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T06:03:55.181Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T06:04:04.364Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T06:04:20.588Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T06:04:31.716Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T06:04:31.716Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-29T06:04:31.716Z] The best model improves the baseline by 14.43%.
[2025-05-29T06:04:31.716Z] Top recommended movies for user id 72:
[2025-05-29T06:04:31.716Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T06:04:31.716Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T06:04:31.716Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T06:04:31.716Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T06:04:31.716Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T06:04:31.716Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (144192.539 ms) ======
[2025-05-29T06:04:32.070Z] -----------------------------------
[2025-05-29T06:04:32.070Z] renaissance-movie-lens_0_PASSED
[2025-05-29T06:04:32.070Z] -----------------------------------
[2025-05-29T06:04:32.070Z]
[2025-05-29T06:04:32.070Z] TEST TEARDOWN:
[2025-05-29T06:04:32.070Z] Nothing to be done for teardown.
[2025-05-29T06:04:32.070Z] renaissance-movie-lens_0 Finish Time: Thu May 29 07:04:31 2025 Epoch Time (ms): 1748498671921