renaissance-movie-lens_0
[2025-07-15T14:01:55.305Z] Running test renaissance-movie-lens_0 ...
[2025-07-15T14:01:55.305Z] ===============================================
[2025-07-15T14:01:55.305Z] renaissance-movie-lens_0 Start Time: Tue Jul 15 15:01:54 2025 Epoch Time (ms): 1752588114916
[2025-07-15T14:01:55.305Z] variation: NoOptions
[2025-07-15T14:01:55.305Z] JVM_OPTIONS:
[2025-07-15T14:01:55.305Z] { \
[2025-07-15T14:01:55.305Z] echo ""; echo "TEST SETUP:"; \
[2025-07-15T14:01:55.305Z] echo "Nothing to be done for setup."; \
[2025-07-15T14:01:55.305Z] mkdir -p "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17525753166596/renaissance-movie-lens_0"; \
[2025-07-15T14:01:55.305Z] cd "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17525753166596/renaissance-movie-lens_0"; \
[2025-07-15T14:01:55.305Z] echo ""; echo "TESTING:"; \
[2025-07-15T14:01:55.305Z] "/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_17525753166596/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-07-15T14:01:55.305Z] 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_17525753166596/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-07-15T14:01:55.305Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-07-15T14:01:55.305Z] echo "Nothing to be done for teardown."; \
[2025-07-15T14:01:55.305Z] } 2>&1 | tee -a "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17525753166596/TestTargetResult";
[2025-07-15T14:01:55.305Z]
[2025-07-15T14:01:55.305Z] TEST SETUP:
[2025-07-15T14:01:55.305Z] Nothing to be done for setup.
[2025-07-15T14:01:55.305Z]
[2025-07-15T14:01:55.305Z] TESTING:
[2025-07-15T14:02:02.865Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-07-15T14:02:14.051Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-07-15T14:02:14.051Z] Training: 60056, validation: 20285, test: 19854
[2025-07-15T14:02:14.051Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-07-15T14:02:14.051Z] GC before operation: completed in 119.181 ms, heap usage 396.806 MB -> 75.065 MB.
[2025-07-15T14:02:42.359Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T14:03:01.986Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T14:03:30.235Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T14:03:49.832Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T14:04:03.348Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T14:04:14.634Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T14:04:30.987Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T14:04:42.186Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T14:04:42.186Z] 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.
[2025-07-15T14:04:42.186Z] The best model improves the baseline by 14.43%.
[2025-07-15T14:04:42.186Z] Top recommended movies for user id 72:
[2025-07-15T14:04:42.186Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T14:04:42.186Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T14:04:42.186Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T14:04:42.186Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T14:04:42.186Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T14:04:42.186Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (148791.579 ms) ======
[2025-07-15T14:04:42.186Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-07-15T14:04:42.550Z] GC before operation: completed in 222.595 ms, heap usage 271.496 MB -> 90.618 MB.
[2025-07-15T14:05:10.809Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T14:05:34.358Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T14:06:02.609Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T14:06:26.171Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T14:06:49.312Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T14:06:58.549Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T14:07:14.833Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T14:07:26.027Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T14:07:26.027Z] 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.
[2025-07-15T14:07:26.027Z] The best model improves the baseline by 14.43%.
[2025-07-15T14:07:26.027Z] Top recommended movies for user id 72:
[2025-07-15T14:07:26.027Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T14:07:26.027Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T14:07:26.027Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T14:07:26.027Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T14:07:26.027Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T14:07:26.027Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (162973.141 ms) ======
[2025-07-15T14:07:26.027Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-07-15T14:07:26.027Z] GC before operation: completed in 185.490 ms, heap usage 832.460 MB -> 93.257 MB.
[2025-07-15T14:07:49.577Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T14:08:17.853Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T14:08:46.140Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T14:09:02.429Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T14:09:15.971Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T14:09:27.165Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T14:09:40.688Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T14:09:51.871Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T14:09:52.231Z] 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.
[2025-07-15T14:09:52.231Z] The best model improves the baseline by 14.43%.
[2025-07-15T14:09:52.596Z] Top recommended movies for user id 72:
[2025-07-15T14:09:52.596Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T14:09:52.596Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T14:09:52.596Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T14:09:52.596Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T14:09:52.596Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T14:09:52.596Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (146723.102 ms) ======
[2025-07-15T14:09:52.596Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-07-15T14:09:52.596Z] GC before operation: completed in 221.760 ms, heap usage 674.959 MB -> 96.300 MB.
[2025-07-15T14:10:20.881Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T14:10:49.348Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T14:11:17.676Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T14:11:41.194Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T14:11:52.361Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T14:12:05.864Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T14:12:22.160Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T14:12:33.342Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T14:12:33.342Z] 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.
[2025-07-15T14:12:33.342Z] The best model improves the baseline by 14.43%.
[2025-07-15T14:12:33.730Z] Top recommended movies for user id 72:
[2025-07-15T14:12:33.730Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T14:12:33.730Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T14:12:33.730Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T14:12:33.730Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T14:12:33.730Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T14:12:33.730Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (161143.252 ms) ======
[2025-07-15T14:12:33.730Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-07-15T14:12:34.089Z] GC before operation: completed in 225.450 ms, heap usage 962.957 MB -> 94.217 MB.
[2025-07-15T14:13:02.370Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T14:13:25.901Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T14:13:54.148Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T14:14:13.775Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T14:14:27.357Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T14:14:38.552Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T14:14:52.072Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T14:15:03.277Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T14:15:03.635Z] 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.
[2025-07-15T14:15:03.635Z] The best model improves the baseline by 14.43%.
[2025-07-15T14:15:04.034Z] Top recommended movies for user id 72:
[2025-07-15T14:15:04.034Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T14:15:04.034Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T14:15:04.034Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T14:15:04.034Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T14:15:04.034Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T14:15:04.034Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (150144.686 ms) ======
[2025-07-15T14:15:04.034Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-07-15T14:15:04.394Z] GC before operation: completed in 233.393 ms, heap usage 938.798 MB -> 95.426 MB.
[2025-07-15T14:15:27.946Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T14:15:56.204Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T14:16:24.471Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T14:16:44.069Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T14:16:57.567Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T14:17:08.802Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T14:17:25.088Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T14:17:36.313Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T14:17:36.314Z] 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.
[2025-07-15T14:17:36.314Z] The best model improves the baseline by 14.43%.
[2025-07-15T14:17:36.314Z] Top recommended movies for user id 72:
[2025-07-15T14:17:36.314Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T14:17:36.314Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T14:17:36.314Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T14:17:36.314Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T14:17:36.314Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T14:17:36.314Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (151342.530 ms) ======
[2025-07-15T14:17:36.314Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-07-15T14:17:36.314Z] GC before operation: completed in 254.703 ms, heap usage 330.130 MB -> 100.209 MB.
[2025-07-15T14:18:04.567Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T14:18:32.853Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T14:19:04.369Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T14:19:23.989Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T14:19:37.552Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T14:19:51.066Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T14:20:07.392Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T14:20:18.568Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T14:20:18.926Z] 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.
[2025-07-15T14:20:18.926Z] The best model improves the baseline by 14.43%.
[2025-07-15T14:20:19.285Z] Top recommended movies for user id 72:
[2025-07-15T14:20:19.285Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T14:20:19.285Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T14:20:19.285Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T14:20:19.285Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T14:20:19.285Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T14:20:19.285Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (163358.830 ms) ======
[2025-07-15T14:20:19.285Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-07-15T14:20:19.643Z] GC before operation: completed in 205.574 ms, heap usage 412.836 MB -> 96.529 MB.
[2025-07-15T14:20:49.249Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T14:21:12.777Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T14:21:41.042Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T14:22:00.627Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T14:22:11.848Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T14:22:23.039Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T14:22:36.557Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T14:22:47.739Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T14:22:48.105Z] 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.
[2025-07-15T14:22:48.105Z] The best model improves the baseline by 14.43%.
[2025-07-15T14:22:48.105Z] Top recommended movies for user id 72:
[2025-07-15T14:22:48.105Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T14:22:48.105Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T14:22:48.105Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T14:22:48.105Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T14:22:48.105Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T14:22:48.105Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (148693.793 ms) ======
[2025-07-15T14:22:48.105Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-07-15T14:22:48.464Z] GC before operation: completed in 200.255 ms, heap usage 427.405 MB -> 96.725 MB.
[2025-07-15T14:23:12.017Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T14:23:40.279Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T14:24:08.909Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T14:24:28.598Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T14:24:44.887Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T14:24:56.072Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T14:25:12.396Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T14:25:23.595Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T14:25:23.595Z] 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.
[2025-07-15T14:25:23.595Z] The best model improves the baseline by 14.43%.
[2025-07-15T14:25:23.595Z] Top recommended movies for user id 72:
[2025-07-15T14:25:23.595Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T14:25:23.595Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T14:25:23.595Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T14:25:23.595Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T14:25:23.595Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T14:25:23.595Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (154793.888 ms) ======
[2025-07-15T14:25:23.595Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-07-15T14:25:23.595Z] GC before operation: completed in 255.281 ms, heap usage 159.742 MB -> 94.182 MB.
[2025-07-15T14:25:59.104Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T14:26:22.646Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T14:26:50.898Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T14:27:10.494Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T14:27:19.712Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T14:27:30.904Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T14:27:47.187Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T14:27:56.421Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T14:27:56.421Z] 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.
[2025-07-15T14:27:56.421Z] The best model improves the baseline by 14.43%.
[2025-07-15T14:27:56.421Z] Top recommended movies for user id 72:
[2025-07-15T14:27:56.421Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T14:27:56.421Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T14:27:56.421Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T14:27:56.421Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T14:27:56.421Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T14:27:56.421Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (152657.292 ms) ======
[2025-07-15T14:27:56.421Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-07-15T14:27:56.421Z] GC before operation: completed in 203.284 ms, heap usage 434.343 MB -> 94.412 MB.
[2025-07-15T14:28:19.964Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T14:28:56.367Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T14:29:24.674Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T14:29:51.875Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T14:30:03.080Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T14:30:14.289Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T14:30:30.596Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T14:30:39.843Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T14:30:39.843Z] 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.
[2025-07-15T14:30:39.843Z] The best model improves the baseline by 14.43%.
[2025-07-15T14:30:39.843Z] Top recommended movies for user id 72:
[2025-07-15T14:30:39.843Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T14:30:39.843Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T14:30:39.843Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T14:30:39.843Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T14:30:39.843Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T14:30:39.843Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (162935.830 ms) ======
[2025-07-15T14:30:39.843Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-07-15T14:30:39.843Z] GC before operation: completed in 194.135 ms, heap usage 839.764 MB -> 96.832 MB.
[2025-07-15T14:31:03.377Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T14:31:26.922Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T14:31:55.180Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T14:32:11.472Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T14:32:24.994Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T14:32:36.185Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T14:32:49.726Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T14:33:00.913Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T14:33:01.681Z] 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.
[2025-07-15T14:33:01.681Z] The best model improves the baseline by 14.43%.
[2025-07-15T14:33:01.681Z] Top recommended movies for user id 72:
[2025-07-15T14:33:01.681Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T14:33:01.681Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T14:33:01.681Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T14:33:01.681Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T14:33:01.681Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T14:33:01.681Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (142344.222 ms) ======
[2025-07-15T14:33:01.681Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-07-15T14:33:02.042Z] GC before operation: completed in 366.132 ms, heap usage 379.117 MB -> 103.878 MB.
[2025-07-15T14:33:30.316Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T14:33:58.633Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T14:34:32.364Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T14:34:55.912Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T14:35:07.100Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T14:35:18.306Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T14:35:31.828Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T14:35:43.019Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T14:35:43.019Z] 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.
[2025-07-15T14:35:43.019Z] The best model improves the baseline by 14.43%.
[2025-07-15T14:35:43.381Z] Top recommended movies for user id 72:
[2025-07-15T14:35:43.381Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T14:35:43.381Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T14:35:43.381Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T14:35:43.381Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T14:35:43.381Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T14:35:43.381Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (161259.217 ms) ======
[2025-07-15T14:35:43.381Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-07-15T14:35:43.739Z] GC before operation: completed in 294.204 ms, heap usage 494.845 MB -> 96.930 MB.
[2025-07-15T14:36:07.276Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T14:36:30.818Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T14:36:59.124Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T14:37:18.758Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T14:37:29.950Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T14:37:39.181Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T14:37:55.480Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T14:38:04.708Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T14:38:04.708Z] 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.
[2025-07-15T14:38:04.708Z] The best model improves the baseline by 14.43%.
[2025-07-15T14:38:05.069Z] Top recommended movies for user id 72:
[2025-07-15T14:38:05.069Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T14:38:05.069Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T14:38:05.069Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T14:38:05.069Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T14:38:05.069Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T14:38:05.069Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (141244.762 ms) ======
[2025-07-15T14:38:05.069Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-07-15T14:38:05.069Z] GC before operation: completed in 200.660 ms, heap usage 209.668 MB -> 94.251 MB.
[2025-07-15T14:38:33.340Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T14:39:01.843Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T14:39:35.775Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T14:39:55.381Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T14:40:06.584Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T14:40:20.099Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T14:40:33.621Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T14:40:47.220Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T14:40:47.220Z] 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.
[2025-07-15T14:40:47.220Z] The best model improves the baseline by 14.43%.
[2025-07-15T14:40:47.220Z] Top recommended movies for user id 72:
[2025-07-15T14:40:47.220Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T14:40:47.220Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T14:40:47.220Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T14:40:47.220Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T14:40:47.220Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T14:40:47.220Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (161179.377 ms) ======
[2025-07-15T14:40:47.220Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-07-15T14:40:47.220Z] GC before operation: completed in 197.307 ms, heap usage 291.904 MB -> 95.718 MB.
[2025-07-15T14:41:18.749Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T14:41:38.361Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T14:42:06.665Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T14:42:26.261Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T14:42:37.449Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T14:42:48.642Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T14:43:02.152Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T14:43:13.330Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T14:43:13.330Z] 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.
[2025-07-15T14:43:13.330Z] The best model improves the baseline by 14.43%.
[2025-07-15T14:43:13.330Z] Top recommended movies for user id 72:
[2025-07-15T14:43:13.330Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T14:43:13.330Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T14:43:13.330Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T14:43:13.330Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T14:43:13.330Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T14:43:13.330Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (146587.753 ms) ======
[2025-07-15T14:43:13.330Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-07-15T14:43:13.330Z] GC before operation: completed in 265.083 ms, heap usage 298.360 MB -> 96.822 MB.
[2025-07-15T14:43:36.874Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T14:44:05.131Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T14:44:33.428Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T14:44:53.062Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T14:45:04.250Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T14:45:15.438Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T14:45:28.974Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T14:45:40.151Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T14:45:40.151Z] 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.
[2025-07-15T14:45:40.151Z] The best model improves the baseline by 14.43%.
[2025-07-15T14:45:40.151Z] Top recommended movies for user id 72:
[2025-07-15T14:45:40.151Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T14:45:40.151Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T14:45:40.151Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T14:45:40.151Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T14:45:40.151Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T14:45:40.151Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (146185.469 ms) ======
[2025-07-15T14:45:40.151Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-07-15T14:45:40.151Z] GC before operation: completed in 187.942 ms, heap usage 237.660 MB -> 94.421 MB.
[2025-07-15T14:46:03.680Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T14:46:27.262Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T14:47:07.113Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T14:47:26.688Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T14:47:40.561Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T14:47:51.737Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T14:48:12.537Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T14:48:23.711Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T14:48:24.072Z] 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.
[2025-07-15T14:48:24.072Z] The best model improves the baseline by 14.43%.
[2025-07-15T14:48:24.073Z] Top recommended movies for user id 72:
[2025-07-15T14:48:24.073Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T14:48:24.073Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T14:48:24.073Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T14:48:24.073Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T14:48:24.073Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T14:48:24.073Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (164417.650 ms) ======
[2025-07-15T14:48:24.073Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-07-15T14:48:24.428Z] GC before operation: completed in 203.262 ms, heap usage 776.135 MB -> 94.593 MB.
[2025-07-15T14:48:47.979Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T14:49:11.507Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T14:49:39.857Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T14:49:56.132Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T14:50:09.645Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T14:50:18.881Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T14:50:46.984Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T14:50:56.207Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T14:50:56.208Z] 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.
[2025-07-15T14:50:56.208Z] The best model improves the baseline by 14.43%.
[2025-07-15T14:50:56.208Z] Top recommended movies for user id 72:
[2025-07-15T14:50:56.208Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T14:50:56.208Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T14:50:56.208Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T14:50:56.208Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T14:50:56.208Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T14:50:56.208Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (151343.079 ms) ======
[2025-07-15T14:50:56.208Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-07-15T14:50:56.208Z] GC before operation: completed in 222.141 ms, heap usage 197.512 MB -> 96.768 MB.
[2025-07-15T14:51:24.482Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T14:51:48.007Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T14:52:29.264Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T14:52:42.774Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T14:52:56.297Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T14:53:05.519Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T14:53:19.027Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T14:53:30.204Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T14:53:30.204Z] 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.
[2025-07-15T14:53:30.204Z] The best model improves the baseline by 14.43%.
[2025-07-15T14:53:30.204Z] Top recommended movies for user id 72:
[2025-07-15T14:53:30.204Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T14:53:30.204Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T14:53:30.204Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T14:53:30.204Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T14:53:30.204Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T14:53:30.204Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (154314.915 ms) ======
[2025-07-15T14:53:31.437Z] -----------------------------------
[2025-07-15T14:53:31.438Z] renaissance-movie-lens_0_PASSED
[2025-07-15T14:53:31.438Z] -----------------------------------
[2025-07-15T14:53:31.438Z]
[2025-07-15T14:53:31.438Z] TEST TEARDOWN:
[2025-07-15T14:53:31.438Z] Nothing to be done for teardown.
[2025-07-15T14:53:31.438Z] renaissance-movie-lens_0 Finish Time: Tue Jul 15 15:53:31 2025 Epoch Time (ms): 1752591211120