renaissance-movie-lens_0
[2025-06-19T03:26:50.627Z] Running test renaissance-movie-lens_0 ...
[2025-06-19T03:26:50.627Z] ===============================================
[2025-06-19T03:26:50.627Z] renaissance-movie-lens_0 Start Time: Thu Jun 19 03:26:48 2025 Epoch Time (ms): 1750303608507
[2025-06-19T03:26:50.627Z] variation: NoOptions
[2025-06-19T03:26:50.627Z] JVM_OPTIONS:
[2025-06-19T03:26:50.627Z] { \
[2025-06-19T03:26:50.627Z] echo ""; echo "TEST SETUP:"; \
[2025-06-19T03:26:50.627Z] echo "Nothing to be done for setup."; \
[2025-06-19T03:26:50.627Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17503012102880/renaissance-movie-lens_0"; \
[2025-06-19T03:26:50.627Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17503012102880/renaissance-movie-lens_0"; \
[2025-06-19T03:26:50.627Z] echo ""; echo "TESTING:"; \
[2025-06-19T03:26:50.627Z] "/home/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17503012102880/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-19T03:26:50.627Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17503012102880/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-19T03:26:50.627Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-19T03:26:50.627Z] echo "Nothing to be done for teardown."; \
[2025-06-19T03:26:50.627Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17503012102880/TestTargetResult";
[2025-06-19T03:26:50.627Z]
[2025-06-19T03:26:50.627Z] TEST SETUP:
[2025-06-19T03:26:50.627Z] Nothing to be done for setup.
[2025-06-19T03:26:50.627Z]
[2025-06-19T03:26:50.627Z] TESTING:
[2025-06-19T03:28:41.011Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads.
[2025-06-19T03:29:10.932Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-19T03:29:10.932Z] Training: 60056, validation: 20285, test: 19854
[2025-06-19T03:29:10.932Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-19T03:29:10.932Z] GC before operation: completed in 178.978 ms, heap usage 573.697 MB -> 75.153 MB.
[2025-06-19T03:29:15.351Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T03:29:20.905Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T03:29:29.929Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T03:29:34.354Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T03:29:36.787Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T03:29:39.218Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T03:29:42.587Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T03:29:45.030Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T03:29:45.787Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-19T03:29:45.787Z] The best model improves the baseline by 14.43%.
[2025-06-19T03:29:45.787Z] Top recommended movies for user id 72:
[2025-06-19T03:29:45.787Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T03:29:45.787Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T03:29:45.787Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T03:29:45.787Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T03:29:45.787Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T03:29:45.787Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (37692.515 ms) ======
[2025-06-19T03:29:45.787Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-19T03:29:45.787Z] GC before operation: completed in 197.965 ms, heap usage 214.948 MB -> 87.285 MB.
[2025-06-19T03:29:50.188Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T03:29:54.602Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T03:30:04.375Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T03:30:07.760Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T03:30:12.158Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T03:30:14.608Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T03:30:21.389Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T03:30:22.970Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T03:30:24.074Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-19T03:30:24.074Z] The best model improves the baseline by 14.43%.
[2025-06-19T03:30:24.074Z] Top recommended movies for user id 72:
[2025-06-19T03:30:24.074Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T03:30:24.074Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T03:30:24.074Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T03:30:24.074Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T03:30:24.074Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T03:30:24.074Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (37671.818 ms) ======
[2025-06-19T03:30:24.074Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-19T03:30:24.074Z] GC before operation: completed in 225.978 ms, heap usage 230.249 MB -> 89.953 MB.
[2025-06-19T03:30:27.468Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T03:30:31.877Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T03:30:38.687Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T03:30:43.115Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T03:30:45.570Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T03:30:48.011Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T03:30:52.415Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T03:30:55.801Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T03:30:55.801Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-19T03:30:55.801Z] The best model improves the baseline by 14.43%.
[2025-06-19T03:30:55.801Z] Top recommended movies for user id 72:
[2025-06-19T03:30:55.801Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T03:30:55.801Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T03:30:55.801Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T03:30:55.801Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T03:30:55.801Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T03:30:55.801Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (32105.072 ms) ======
[2025-06-19T03:30:55.801Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-19T03:30:56.559Z] GC before operation: completed in 230.764 ms, heap usage 524.259 MB -> 90.968 MB.
[2025-06-19T03:30:59.930Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T03:31:04.342Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T03:31:14.213Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T03:31:17.591Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T03:31:23.661Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T03:31:25.234Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T03:31:32.014Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T03:31:34.454Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T03:31:35.219Z] 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.
[2025-06-19T03:31:35.219Z] The best model improves the baseline by 14.43%.
[2025-06-19T03:31:35.219Z] Top recommended movies for user id 72:
[2025-06-19T03:31:35.219Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T03:31:35.219Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T03:31:35.219Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T03:31:35.219Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T03:31:35.219Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T03:31:35.219Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (38940.417 ms) ======
[2025-06-19T03:31:35.219Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-19T03:31:35.219Z] GC before operation: completed in 223.012 ms, heap usage 634.988 MB -> 91.354 MB.
[2025-06-19T03:31:39.634Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T03:31:44.044Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T03:31:52.229Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T03:31:55.612Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T03:31:59.000Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T03:32:00.578Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T03:32:04.978Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T03:32:08.530Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T03:32:08.530Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-19T03:32:08.530Z] The best model improves the baseline by 14.43%.
[2025-06-19T03:32:08.530Z] Top recommended movies for user id 72:
[2025-06-19T03:32:08.530Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T03:32:08.530Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T03:32:08.530Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T03:32:08.530Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T03:32:08.530Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T03:32:08.530Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (33057.166 ms) ======
[2025-06-19T03:32:08.530Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-19T03:32:08.530Z] GC before operation: completed in 234.207 ms, heap usage 995.083 MB -> 94.991 MB.
[2025-06-19T03:32:12.940Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T03:32:17.358Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T03:32:23.453Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T03:32:27.888Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T03:32:32.303Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T03:32:35.680Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T03:32:40.090Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T03:32:44.491Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T03:32:45.249Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-19T03:32:45.249Z] The best model improves the baseline by 14.43%.
[2025-06-19T03:32:45.249Z] Top recommended movies for user id 72:
[2025-06-19T03:32:45.249Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T03:32:45.249Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T03:32:45.249Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T03:32:45.249Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T03:32:45.249Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T03:32:45.249Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (36408.858 ms) ======
[2025-06-19T03:32:45.249Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-19T03:32:45.249Z] GC before operation: completed in 238.487 ms, heap usage 412.967 MB -> 91.465 MB.
[2025-06-19T03:32:49.649Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T03:32:53.040Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T03:33:01.235Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T03:33:04.610Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T03:33:07.066Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T03:33:09.519Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T03:33:13.937Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T03:33:16.415Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T03:33:16.415Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-19T03:33:16.415Z] The best model improves the baseline by 14.43%.
[2025-06-19T03:33:16.415Z] Top recommended movies for user id 72:
[2025-06-19T03:33:16.415Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T03:33:16.415Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T03:33:16.415Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T03:33:16.415Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T03:33:16.415Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T03:33:16.415Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (31077.041 ms) ======
[2025-06-19T03:33:16.415Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-19T03:33:16.415Z] GC before operation: completed in 221.075 ms, heap usage 561.347 MB -> 91.501 MB.
[2025-06-19T03:33:21.221Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T03:33:24.722Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T03:33:31.509Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T03:33:35.917Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T03:33:44.125Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T03:33:48.029Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T03:33:53.571Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T03:33:55.142Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T03:33:55.902Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-19T03:33:55.902Z] The best model improves the baseline by 14.43%.
[2025-06-19T03:33:55.902Z] Top recommended movies for user id 72:
[2025-06-19T03:33:55.902Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T03:33:55.902Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T03:33:55.902Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T03:33:55.902Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T03:33:55.902Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T03:33:55.902Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (39144.083 ms) ======
[2025-06-19T03:33:55.902Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-19T03:33:55.902Z] GC before operation: completed in 216.179 ms, heap usage 279.336 MB -> 91.454 MB.
[2025-06-19T03:34:00.310Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T03:34:04.721Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T03:34:11.518Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T03:34:14.915Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T03:34:17.355Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T03:34:19.791Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T03:34:23.511Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T03:34:25.957Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T03:34:26.716Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-19T03:34:26.716Z] The best model improves the baseline by 14.43%.
[2025-06-19T03:34:26.716Z] Top recommended movies for user id 72:
[2025-06-19T03:34:26.716Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T03:34:26.716Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T03:34:26.716Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T03:34:26.716Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T03:34:26.716Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T03:34:26.716Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (30764.819 ms) ======
[2025-06-19T03:34:26.716Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-19T03:34:26.716Z] GC before operation: completed in 188.616 ms, heap usage 310.642 MB -> 91.319 MB.
[2025-06-19T03:34:31.191Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T03:34:34.571Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T03:34:41.372Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T03:34:45.802Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T03:34:48.245Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T03:34:49.811Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T03:35:01.355Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T03:35:03.791Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T03:35:04.549Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-19T03:35:04.549Z] The best model improves the baseline by 14.43%.
[2025-06-19T03:35:04.549Z] Top recommended movies for user id 72:
[2025-06-19T03:35:04.549Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T03:35:04.549Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T03:35:04.549Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T03:35:04.549Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T03:35:04.549Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T03:35:04.549Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (37635.901 ms) ======
[2025-06-19T03:35:04.549Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-19T03:35:04.549Z] GC before operation: completed in 244.404 ms, heap usage 1.134 GB -> 96.100 MB.
[2025-06-19T03:35:08.953Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T03:35:12.341Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T03:35:19.135Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T03:35:22.853Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T03:35:25.294Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T03:35:26.903Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T03:35:31.307Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T03:35:33.773Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T03:35:34.532Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-19T03:35:34.532Z] The best model improves the baseline by 14.43%.
[2025-06-19T03:35:34.532Z] Top recommended movies for user id 72:
[2025-06-19T03:35:34.532Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T03:35:34.532Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T03:35:34.532Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T03:35:34.532Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T03:35:34.532Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T03:35:34.532Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (29564.544 ms) ======
[2025-06-19T03:35:34.532Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-19T03:35:34.532Z] GC before operation: completed in 244.061 ms, heap usage 1.284 GB -> 96.047 MB.
[2025-06-19T03:35:38.939Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T03:35:42.323Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T03:35:47.858Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T03:35:52.263Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T03:35:53.831Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T03:35:56.309Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T03:35:59.176Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T03:36:00.831Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T03:36:00.831Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-19T03:36:00.831Z] The best model improves the baseline by 14.43%.
[2025-06-19T03:36:01.596Z] Top recommended movies for user id 72:
[2025-06-19T03:36:01.596Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T03:36:01.596Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T03:36:01.596Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T03:36:01.596Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T03:36:01.596Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T03:36:01.596Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (26504.597 ms) ======
[2025-06-19T03:36:01.596Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-19T03:36:01.596Z] GC before operation: completed in 252.583 ms, heap usage 503.855 MB -> 91.694 MB.
[2025-06-19T03:36:05.005Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T03:36:10.545Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T03:36:17.346Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T03:36:20.918Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T03:36:23.364Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T03:36:25.813Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T03:36:28.252Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T03:36:29.823Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T03:36:30.582Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-19T03:36:30.582Z] The best model improves the baseline by 14.43%.
[2025-06-19T03:36:30.582Z] Top recommended movies for user id 72:
[2025-06-19T03:36:30.582Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T03:36:30.582Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T03:36:30.582Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T03:36:30.582Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T03:36:30.582Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T03:36:30.582Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (29014.409 ms) ======
[2025-06-19T03:36:30.582Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-19T03:36:30.582Z] GC before operation: completed in 214.848 ms, heap usage 1.095 GB -> 95.905 MB.
[2025-06-19T03:36:35.013Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T03:36:38.408Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T03:36:43.952Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T03:36:47.336Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T03:36:49.782Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T03:36:51.349Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T03:36:54.755Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T03:36:57.192Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T03:36:57.192Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-19T03:36:57.192Z] The best model improves the baseline by 14.43%.
[2025-06-19T03:36:57.192Z] Top recommended movies for user id 72:
[2025-06-19T03:36:57.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T03:36:57.192Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T03:36:57.192Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T03:36:57.192Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T03:36:57.192Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T03:36:57.192Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (26650.974 ms) ======
[2025-06-19T03:36:57.192Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-19T03:36:57.952Z] GC before operation: completed in 231.826 ms, heap usage 538.563 MB -> 94.831 MB.
[2025-06-19T03:37:01.331Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T03:37:05.770Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T03:37:18.156Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T03:37:21.535Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T03:37:24.933Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T03:37:27.382Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T03:37:31.800Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T03:37:34.275Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T03:37:34.275Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-19T03:37:34.275Z] The best model improves the baseline by 14.43%.
[2025-06-19T03:37:35.034Z] Top recommended movies for user id 72:
[2025-06-19T03:37:35.034Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T03:37:35.034Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T03:37:35.034Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T03:37:35.034Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T03:37:35.034Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T03:37:35.034Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (37107.191 ms) ======
[2025-06-19T03:37:35.034Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-19T03:37:35.034Z] GC before operation: completed in 224.268 ms, heap usage 930.274 MB -> 95.434 MB.
[2025-06-19T03:37:38.440Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T03:37:42.863Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T03:37:48.391Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T03:37:51.776Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T03:37:54.224Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T03:37:55.801Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T03:37:59.175Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T03:38:01.630Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T03:38:02.392Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-19T03:38:02.392Z] The best model improves the baseline by 14.43%.
[2025-06-19T03:38:02.392Z] Top recommended movies for user id 72:
[2025-06-19T03:38:02.392Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T03:38:02.392Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T03:38:02.392Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T03:38:02.392Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T03:38:02.392Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T03:38:02.392Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (27342.869 ms) ======
[2025-06-19T03:38:02.392Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-19T03:38:02.392Z] GC before operation: completed in 247.389 ms, heap usage 1.091 GB -> 95.772 MB.
[2025-06-19T03:38:06.798Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T03:38:10.184Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T03:38:14.787Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T03:38:19.203Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T03:38:20.776Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T03:38:23.234Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T03:38:25.678Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T03:38:28.133Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T03:38:28.133Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-19T03:38:28.133Z] The best model improves the baseline by 14.43%.
[2025-06-19T03:38:28.890Z] Top recommended movies for user id 72:
[2025-06-19T03:38:28.890Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T03:38:28.890Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T03:38:28.890Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T03:38:28.890Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T03:38:28.890Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T03:38:28.890Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (26044.302 ms) ======
[2025-06-19T03:38:28.890Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-19T03:38:28.890Z] GC before operation: completed in 233.454 ms, heap usage 209.520 MB -> 91.558 MB.
[2025-06-19T03:38:32.271Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T03:38:37.817Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T03:38:42.233Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T03:38:45.614Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T03:38:48.065Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T03:38:50.511Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T03:38:52.947Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T03:38:55.399Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T03:38:55.399Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-19T03:38:55.399Z] The best model improves the baseline by 14.43%.
[2025-06-19T03:38:55.399Z] Top recommended movies for user id 72:
[2025-06-19T03:38:55.400Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T03:38:55.400Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T03:38:55.400Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T03:38:55.400Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T03:38:55.400Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T03:38:55.400Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (26855.194 ms) ======
[2025-06-19T03:38:55.400Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-19T03:38:56.157Z] GC before operation: completed in 228.536 ms, heap usage 418.007 MB -> 91.534 MB.
[2025-06-19T03:38:59.545Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T03:39:03.952Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T03:39:09.486Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T03:39:13.035Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T03:39:14.604Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T03:39:17.046Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T03:39:20.421Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T03:39:22.860Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T03:39:22.860Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-19T03:39:22.860Z] The best model improves the baseline by 14.43%.
[2025-06-19T03:39:23.617Z] Top recommended movies for user id 72:
[2025-06-19T03:39:23.617Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T03:39:23.617Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T03:39:23.617Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T03:39:23.617Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T03:39:23.617Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T03:39:23.617Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (27388.817 ms) ======
[2025-06-19T03:39:23.617Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-19T03:39:23.617Z] GC before operation: completed in 188.099 ms, heap usage 1.070 GB -> 95.873 MB.
[2025-06-19T03:39:27.000Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T03:39:31.408Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T03:39:41.182Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T03:39:44.576Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T03:39:47.061Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T03:39:49.505Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T03:39:53.912Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T03:39:56.358Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T03:39:57.116Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-19T03:39:57.116Z] The best model improves the baseline by 14.43%.
[2025-06-19T03:39:57.116Z] Top recommended movies for user id 72:
[2025-06-19T03:39:57.116Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T03:39:57.116Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T03:39:57.116Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T03:39:57.116Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T03:39:57.116Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T03:39:57.116Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (33521.025 ms) ======
[2025-06-19T03:39:57.877Z] -----------------------------------
[2025-06-19T03:39:57.877Z] renaissance-movie-lens_0_PASSED
[2025-06-19T03:39:57.877Z] -----------------------------------
[2025-06-19T03:39:57.877Z]
[2025-06-19T03:39:57.877Z] TEST TEARDOWN:
[2025-06-19T03:39:57.877Z] Nothing to be done for teardown.
[2025-06-19T03:39:57.877Z] renaissance-movie-lens_0 Finish Time: Thu Jun 19 03:39:57 2025 Epoch Time (ms): 1750304397570