renaissance-movie-lens_0
[2025-10-03T20:44:43.858Z] Running test renaissance-movie-lens_0 ...
[2025-10-03T20:44:43.858Z] ===============================================
[2025-10-03T20:44:43.858Z] renaissance-movie-lens_0 Start Time: Fri Oct 3 20:44:43 2025 Epoch Time (ms): 1759524283075
[2025-10-03T20:44:43.858Z] variation: NoOptions
[2025-10-03T20:44:43.858Z] JVM_OPTIONS:
[2025-10-03T20:44:43.858Z] { \
[2025-10-03T20:44:43.858Z] echo ""; echo "TEST SETUP:"; \
[2025-10-03T20:44:43.858Z] echo "Nothing to be done for setup."; \
[2025-10-03T20:44:43.858Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1759523009853/renaissance-movie-lens_0"; \
[2025-10-03T20:44:43.858Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1759523009853/renaissance-movie-lens_0"; \
[2025-10-03T20:44:43.858Z] echo ""; echo "TESTING:"; \
[2025-10-03T20:44:43.858Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1759523009853/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-10-03T20:44:43.858Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1759523009853/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-10-03T20:44:43.858Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-10-03T20:44:43.858Z] echo "Nothing to be done for teardown."; \
[2025-10-03T20:44:43.858Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1759523009853/TestTargetResult";
[2025-10-03T20:44:43.858Z]
[2025-10-03T20:44:43.858Z] TEST SETUP:
[2025-10-03T20:44:43.858Z] Nothing to be done for setup.
[2025-10-03T20:44:43.858Z]
[2025-10-03T20:44:43.858Z] TESTING:
[2025-10-03T20:44:50.740Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-10-03T20:45:00.660Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-10-03T20:45:00.660Z] Training: 60056, validation: 20285, test: 19854
[2025-10-03T20:45:00.660Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-10-03T20:45:01.437Z] GC before operation: completed in 141.475 ms, heap usage 484.889 MB -> 75.682 MB.
[2025-10-03T20:45:05.944Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T20:45:09.410Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T20:45:12.869Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T20:45:15.432Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T20:45:17.022Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T20:45:18.616Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T20:45:21.126Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T20:45:22.733Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T20:45:22.733Z] 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.
[2025-10-03T20:45:22.733Z] The best model improves the baseline by 14.43%.
[2025-10-03T20:45:23.503Z] Top recommended movies for user id 72:
[2025-10-03T20:45:23.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-03T20:45:23.503Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-03T20:45:23.503Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-03T20:45:23.503Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-03T20:45:23.503Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-03T20:45:23.503Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22203.074 ms) ======
[2025-10-03T20:45:23.503Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-10-03T20:45:23.503Z] GC before operation: completed in 184.483 ms, heap usage 278.843 MB -> 88.593 MB.
[2025-10-03T20:45:26.927Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T20:45:29.435Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T20:45:32.863Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T20:45:36.314Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T20:45:37.907Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T20:45:39.501Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T20:45:41.985Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T20:45:43.663Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T20:45:43.663Z] 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.
[2025-10-03T20:45:43.663Z] The best model improves the baseline by 14.43%.
[2025-10-03T20:45:44.434Z] Top recommended movies for user id 72:
[2025-10-03T20:45:44.434Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-03T20:45:44.434Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-03T20:45:44.434Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-03T20:45:44.434Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-03T20:45:44.434Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-03T20:45:44.434Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20762.122 ms) ======
[2025-10-03T20:45:44.434Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-10-03T20:45:44.434Z] GC before operation: completed in 144.653 ms, heap usage 313.904 MB -> 90.421 MB.
[2025-10-03T20:45:47.866Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T20:45:50.368Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T20:45:53.811Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T20:45:56.294Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T20:45:58.778Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T20:46:00.378Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T20:46:01.972Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T20:46:03.569Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T20:46:04.340Z] 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.
[2025-10-03T20:46:04.340Z] The best model improves the baseline by 14.43%.
[2025-10-03T20:46:04.340Z] Top recommended movies for user id 72:
[2025-10-03T20:46:04.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-03T20:46:04.340Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-03T20:46:04.340Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-03T20:46:04.340Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-03T20:46:04.340Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-03T20:46:04.340Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20100.105 ms) ======
[2025-10-03T20:46:04.340Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-10-03T20:46:04.340Z] GC before operation: completed in 127.045 ms, heap usage 321.339 MB -> 90.978 MB.
[2025-10-03T20:46:07.777Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T20:46:10.264Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T20:46:13.697Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T20:46:16.180Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T20:46:18.653Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T20:46:20.250Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T20:46:21.845Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T20:46:23.447Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T20:46:24.219Z] 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.
[2025-10-03T20:46:24.219Z] The best model improves the baseline by 14.43%.
[2025-10-03T20:46:24.219Z] Top recommended movies for user id 72:
[2025-10-03T20:46:24.219Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-03T20:46:24.219Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-03T20:46:24.219Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-03T20:46:24.219Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-03T20:46:24.219Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-03T20:46:24.219Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19502.520 ms) ======
[2025-10-03T20:46:24.219Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-10-03T20:46:24.219Z] GC before operation: completed in 147.425 ms, heap usage 678.769 MB -> 91.533 MB.
[2025-10-03T20:46:27.650Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T20:46:30.123Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T20:46:33.540Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T20:46:36.027Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T20:46:37.629Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T20:46:40.121Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T20:46:41.717Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T20:46:43.311Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T20:46:43.311Z] 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.
[2025-10-03T20:46:43.311Z] The best model improves the baseline by 14.43%.
[2025-10-03T20:46:44.092Z] Top recommended movies for user id 72:
[2025-10-03T20:46:44.092Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-03T20:46:44.092Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-03T20:46:44.092Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-03T20:46:44.092Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-03T20:46:44.092Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-03T20:46:44.092Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19600.171 ms) ======
[2025-10-03T20:46:44.092Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-10-03T20:46:44.092Z] GC before operation: completed in 143.702 ms, heap usage 304.792 MB -> 91.159 MB.
[2025-10-03T20:46:47.572Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T20:46:50.080Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T20:46:53.521Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T20:46:56.001Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T20:46:57.604Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T20:47:00.097Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T20:47:01.696Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T20:47:03.316Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T20:47:03.316Z] 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.
[2025-10-03T20:47:03.316Z] The best model improves the baseline by 14.43%.
[2025-10-03T20:47:03.316Z] Top recommended movies for user id 72:
[2025-10-03T20:47:03.316Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-03T20:47:03.316Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-03T20:47:03.316Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-03T20:47:03.316Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-03T20:47:03.316Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-03T20:47:03.316Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19665.463 ms) ======
[2025-10-03T20:47:03.316Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-10-03T20:47:04.094Z] GC before operation: completed in 170.441 ms, heap usage 2.576 GB -> 98.068 MB.
[2025-10-03T20:47:06.570Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T20:47:10.022Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T20:47:12.499Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T20:47:15.939Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T20:47:17.539Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T20:47:19.143Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T20:47:21.486Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T20:47:22.322Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T20:47:23.146Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-10-03T20:47:23.146Z] The best model improves the baseline by 14.43%.
[2025-10-03T20:47:23.146Z] Top recommended movies for user id 72:
[2025-10-03T20:47:23.146Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-03T20:47:23.146Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-03T20:47:23.146Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-03T20:47:23.146Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-03T20:47:23.146Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-03T20:47:23.146Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19347.082 ms) ======
[2025-10-03T20:47:23.146Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-10-03T20:47:23.146Z] GC before operation: completed in 134.152 ms, heap usage 321.023 MB -> 91.663 MB.
[2025-10-03T20:47:26.008Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T20:47:29.461Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T20:47:32.901Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T20:47:35.385Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T20:47:36.989Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T20:47:38.595Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T20:47:41.156Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T20:47:42.753Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T20:47:42.753Z] 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.
[2025-10-03T20:47:42.753Z] The best model improves the baseline by 14.43%.
[2025-10-03T20:47:43.525Z] Top recommended movies for user id 72:
[2025-10-03T20:47:43.525Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-03T20:47:43.525Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-03T20:47:43.525Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-03T20:47:43.525Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-03T20:47:43.525Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-03T20:47:43.525Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19824.033 ms) ======
[2025-10-03T20:47:43.525Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-10-03T20:47:43.525Z] GC before operation: completed in 127.579 ms, heap usage 309.882 MB -> 92.200 MB.
[2025-10-03T20:47:46.005Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T20:47:49.464Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T20:47:52.908Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T20:47:55.405Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T20:47:57.018Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T20:47:59.511Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T20:48:01.136Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T20:48:02.771Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T20:48:02.771Z] 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.
[2025-10-03T20:48:02.771Z] The best model improves the baseline by 14.43%.
[2025-10-03T20:48:03.555Z] Top recommended movies for user id 72:
[2025-10-03T20:48:03.555Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-03T20:48:03.555Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-03T20:48:03.555Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-03T20:48:03.555Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-03T20:48:03.555Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-03T20:48:03.555Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19972.899 ms) ======
[2025-10-03T20:48:03.555Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-10-03T20:48:03.555Z] GC before operation: completed in 131.976 ms, heap usage 489.969 MB -> 92.196 MB.
[2025-10-03T20:48:06.054Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T20:48:09.538Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T20:48:12.062Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T20:48:15.541Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T20:48:16.332Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T20:48:18.835Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T20:48:20.442Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T20:48:22.044Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T20:48:22.044Z] 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.
[2025-10-03T20:48:22.044Z] The best model improves the baseline by 14.43%.
[2025-10-03T20:48:22.814Z] Top recommended movies for user id 72:
[2025-10-03T20:48:22.814Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-03T20:48:22.814Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-03T20:48:22.814Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-03T20:48:22.814Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-03T20:48:22.814Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-03T20:48:22.814Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19143.909 ms) ======
[2025-10-03T20:48:22.814Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-10-03T20:48:22.814Z] GC before operation: completed in 128.899 ms, heap usage 158.404 MB -> 92.227 MB.
[2025-10-03T20:48:25.314Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T20:48:28.771Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T20:48:32.222Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T20:48:34.899Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T20:48:36.496Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T20:48:38.114Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T20:48:39.719Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T20:48:41.313Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T20:48:42.083Z] 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.
[2025-10-03T20:48:42.083Z] The best model improves the baseline by 14.43%.
[2025-10-03T20:48:42.083Z] Top recommended movies for user id 72:
[2025-10-03T20:48:42.083Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-03T20:48:42.083Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-03T20:48:42.083Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-03T20:48:42.083Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-03T20:48:42.083Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-03T20:48:42.083Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19369.011 ms) ======
[2025-10-03T20:48:42.083Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-10-03T20:48:42.083Z] GC before operation: completed in 128.842 ms, heap usage 371.065 MB -> 92.240 MB.
[2025-10-03T20:48:45.518Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T20:48:48.005Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T20:48:51.440Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T20:48:53.938Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T20:48:55.536Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T20:48:58.010Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T20:48:59.607Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T20:49:01.210Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T20:49:01.210Z] 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.
[2025-10-03T20:49:01.210Z] The best model improves the baseline by 14.43%.
[2025-10-03T20:49:01.980Z] Top recommended movies for user id 72:
[2025-10-03T20:49:01.980Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-03T20:49:01.980Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-03T20:49:01.980Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-03T20:49:01.980Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-03T20:49:01.980Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-03T20:49:01.980Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19605.034 ms) ======
[2025-10-03T20:49:01.980Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-10-03T20:49:01.980Z] GC before operation: completed in 129.632 ms, heap usage 170.202 MB -> 91.841 MB.
[2025-10-03T20:49:04.458Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T20:49:07.881Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T20:49:11.325Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T20:49:13.799Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T20:49:15.401Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T20:49:17.923Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T20:49:19.518Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T20:49:21.108Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T20:49:21.881Z] 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.
[2025-10-03T20:49:21.881Z] The best model improves the baseline by 14.43%.
[2025-10-03T20:49:21.881Z] Top recommended movies for user id 72:
[2025-10-03T20:49:21.881Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-03T20:49:21.881Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-03T20:49:21.881Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-03T20:49:21.881Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-03T20:49:21.881Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-03T20:49:21.881Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19921.194 ms) ======
[2025-10-03T20:49:21.881Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-10-03T20:49:21.881Z] GC before operation: completed in 121.784 ms, heap usage 188.133 MB -> 92.148 MB.
[2025-10-03T20:49:24.362Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T20:49:27.795Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T20:49:30.267Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T20:49:33.699Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T20:49:34.478Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T20:49:37.039Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T20:49:38.647Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T20:49:40.291Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T20:49:40.291Z] 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.
[2025-10-03T20:49:40.291Z] The best model improves the baseline by 14.43%.
[2025-10-03T20:49:40.291Z] Top recommended movies for user id 72:
[2025-10-03T20:49:40.291Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-03T20:49:40.291Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-03T20:49:40.291Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-03T20:49:40.291Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-03T20:49:40.291Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-03T20:49:40.291Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18475.069 ms) ======
[2025-10-03T20:49:40.291Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-10-03T20:49:40.291Z] GC before operation: completed in 129.761 ms, heap usage 297.681 MB -> 92.256 MB.
[2025-10-03T20:49:43.737Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T20:49:46.224Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T20:49:49.703Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T20:49:51.317Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T20:49:53.827Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T20:49:54.629Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T20:49:57.143Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T20:49:57.934Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T20:49:58.706Z] 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.
[2025-10-03T20:49:58.706Z] The best model improves the baseline by 14.43%.
[2025-10-03T20:49:58.706Z] Top recommended movies for user id 72:
[2025-10-03T20:49:58.706Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-03T20:49:58.706Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-03T20:49:58.706Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-03T20:49:58.706Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-03T20:49:58.706Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-03T20:49:58.706Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18235.021 ms) ======
[2025-10-03T20:49:58.706Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-10-03T20:49:58.706Z] GC before operation: completed in 132.207 ms, heap usage 165.473 MB -> 94.799 MB.
[2025-10-03T20:50:01.276Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T20:50:04.742Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T20:50:07.233Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T20:50:09.715Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T20:50:11.313Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T20:50:12.911Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T20:50:15.395Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T20:50:16.992Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T20:50:16.992Z] 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.
[2025-10-03T20:50:16.992Z] The best model improves the baseline by 14.43%.
[2025-10-03T20:50:16.992Z] Top recommended movies for user id 72:
[2025-10-03T20:50:16.992Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-03T20:50:16.992Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-03T20:50:16.992Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-03T20:50:16.992Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-03T20:50:16.992Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-03T20:50:16.992Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18244.072 ms) ======
[2025-10-03T20:50:16.992Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-10-03T20:50:16.992Z] GC before operation: completed in 137.033 ms, heap usage 1.621 GB -> 97.600 MB.
[2025-10-03T20:50:20.487Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T20:50:23.102Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T20:50:25.577Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T20:50:28.072Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T20:50:30.546Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T20:50:32.140Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T20:50:33.735Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T20:50:35.325Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T20:50:35.325Z] 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.
[2025-10-03T20:50:36.111Z] The best model improves the baseline by 14.43%.
[2025-10-03T20:50:36.111Z] Top recommended movies for user id 72:
[2025-10-03T20:50:36.111Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-03T20:50:36.111Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-03T20:50:36.111Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-03T20:50:36.111Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-03T20:50:36.111Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-03T20:50:36.111Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18667.241 ms) ======
[2025-10-03T20:50:36.111Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-10-03T20:50:36.111Z] GC before operation: completed in 128.079 ms, heap usage 189.287 MB -> 92.132 MB.
[2025-10-03T20:50:39.550Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T20:50:42.039Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T20:50:45.474Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T20:50:48.127Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T20:50:49.720Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T20:50:51.310Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T20:50:52.901Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T20:50:54.501Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T20:50:55.271Z] 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.
[2025-10-03T20:50:55.271Z] The best model improves the baseline by 14.43%.
[2025-10-03T20:50:55.271Z] Top recommended movies for user id 72:
[2025-10-03T20:50:55.271Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-03T20:50:55.271Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-03T20:50:55.271Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-03T20:50:55.271Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-03T20:50:55.271Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-03T20:50:55.271Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19227.492 ms) ======
[2025-10-03T20:50:55.271Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-10-03T20:50:55.271Z] GC before operation: completed in 132.077 ms, heap usage 2.686 GB -> 98.535 MB.
[2025-10-03T20:50:58.703Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T20:51:01.176Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T20:51:03.653Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T20:51:07.118Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T20:51:08.717Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T20:51:10.313Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T20:51:11.936Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T20:51:13.547Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T20:51:13.548Z] 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.
[2025-10-03T20:51:13.548Z] The best model improves the baseline by 14.43%.
[2025-10-03T20:51:14.320Z] Top recommended movies for user id 72:
[2025-10-03T20:51:14.320Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-03T20:51:14.320Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-03T20:51:14.320Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-03T20:51:14.320Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-03T20:51:14.320Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-03T20:51:14.320Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18529.354 ms) ======
[2025-10-03T20:51:14.320Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-10-03T20:51:14.320Z] GC before operation: completed in 134.594 ms, heap usage 630.170 MB -> 92.758 MB.
[2025-10-03T20:51:16.806Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T20:51:20.230Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T20:51:22.718Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T20:51:26.176Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T20:51:27.768Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T20:51:29.395Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T20:51:30.992Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T20:51:32.601Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T20:51:33.372Z] 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.
[2025-10-03T20:51:33.372Z] The best model improves the baseline by 14.43%.
[2025-10-03T20:51:33.372Z] Top recommended movies for user id 72:
[2025-10-03T20:51:33.372Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-03T20:51:33.372Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-03T20:51:33.372Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-03T20:51:33.372Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-03T20:51:33.372Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-03T20:51:33.372Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19408.978 ms) ======
[2025-10-03T20:51:34.151Z] -----------------------------------
[2025-10-03T20:51:34.151Z] renaissance-movie-lens_0_PASSED
[2025-10-03T20:51:34.151Z] -----------------------------------
[2025-10-03T20:51:34.151Z]
[2025-10-03T20:51:34.151Z] TEST TEARDOWN:
[2025-10-03T20:51:34.151Z] Nothing to be done for teardown.
[2025-10-03T20:51:34.151Z] renaissance-movie-lens_0 Finish Time: Fri Oct 3 20:51:33 2025 Epoch Time (ms): 1759524693740