renaissance-movie-lens_0
[2025-09-24T21:05:25.106Z] Running test renaissance-movie-lens_0 ...
[2025-09-24T21:05:25.106Z] ===============================================
[2025-09-24T21:05:25.106Z] renaissance-movie-lens_0 Start Time: Wed Sep 24 21:05:24 2025 Epoch Time (ms): 1758747924433
[2025-09-24T21:05:25.106Z] variation: NoOptions
[2025-09-24T21:05:25.106Z] JVM_OPTIONS:
[2025-09-24T21:05:25.106Z] { \
[2025-09-24T21:05:25.106Z] echo ""; echo "TEST SETUP:"; \
[2025-09-24T21:05:25.106Z] echo "Nothing to be done for setup."; \
[2025-09-24T21:05:25.106Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17587465987135/renaissance-movie-lens_0"; \
[2025-09-24T21:05:25.106Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17587465987135/renaissance-movie-lens_0"; \
[2025-09-24T21:05:25.106Z] echo ""; echo "TESTING:"; \
[2025-09-24T21:05:25.106Z] "/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_17587465987135/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-09-24T21:05:25.106Z] 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_17587465987135/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-09-24T21:05:25.106Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-09-24T21:05:25.106Z] echo "Nothing to be done for teardown."; \
[2025-09-24T21:05:25.106Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17587465987135/TestTargetResult";
[2025-09-24T21:05:25.106Z]
[2025-09-24T21:05:25.106Z] TEST SETUP:
[2025-09-24T21:05:25.106Z] Nothing to be done for setup.
[2025-09-24T21:05:25.106Z]
[2025-09-24T21:05:25.106Z] TESTING:
[2025-09-24T21:05:32.134Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-09-24T21:05:42.076Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-09-24T21:05:42.858Z] Training: 60056, validation: 20285, test: 19854
[2025-09-24T21:05:42.858Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-09-24T21:05:42.858Z] GC before operation: completed in 133.563 ms, heap usage 701.707 MB -> 75.742 MB.
[2025-09-24T21:05:47.346Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T21:05:50.886Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T21:05:54.346Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T21:05:57.123Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T21:05:58.732Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T21:06:01.219Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T21:06:02.820Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T21:06:04.428Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T21:06:04.428Z] 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.
[2025-09-24T21:06:05.202Z] The best model improves the baseline by 14.43%.
[2025-09-24T21:06:05.202Z] Top recommended movies for user id 72:
[2025-09-24T21:06:05.202Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T21:06:05.202Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T21:06:05.202Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T21:06:05.202Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T21:06:05.202Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T21:06:05.202Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22387.304 ms) ======
[2025-09-24T21:06:05.202Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-09-24T21:06:05.202Z] GC before operation: completed in 184.914 ms, heap usage 2.695 GB -> 95.621 MB.
[2025-09-24T21:06:08.665Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T21:06:11.146Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T21:06:14.599Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T21:06:18.058Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T21:06:19.695Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T21:06:21.307Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T21:06:22.909Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T21:06:25.397Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T21:06:25.397Z] 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.
[2025-09-24T21:06:25.397Z] The best model improves the baseline by 14.43%.
[2025-09-24T21:06:26.175Z] Top recommended movies for user id 72:
[2025-09-24T21:06:26.175Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T21:06:26.175Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T21:06:26.175Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T21:06:26.175Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T21:06:26.175Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T21:06:26.175Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20541.003 ms) ======
[2025-09-24T21:06:26.175Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-09-24T21:06:26.175Z] GC before operation: completed in 130.984 ms, heap usage 366.858 MB -> 90.079 MB.
[2025-09-24T21:06:28.660Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T21:06:32.153Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T21:06:35.599Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T21:06:38.141Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T21:06:39.751Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T21:06:42.238Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T21:06:43.836Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T21:06:45.436Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T21:06:45.436Z] 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.
[2025-09-24T21:06:45.436Z] The best model improves the baseline by 14.43%.
[2025-09-24T21:06:46.216Z] Top recommended movies for user id 72:
[2025-09-24T21:06:46.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T21:06:46.216Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T21:06:46.216Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T21:06:46.216Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T21:06:46.216Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T21:06:46.216Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19991.421 ms) ======
[2025-09-24T21:06:46.216Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-09-24T21:06:46.216Z] GC before operation: completed in 129.871 ms, heap usage 319.471 MB -> 90.944 MB.
[2025-09-24T21:06:48.698Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T21:06:52.137Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T21:06:55.597Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T21:06:58.312Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T21:06:59.915Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T21:07:01.529Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T21:07:04.074Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T21:07:05.703Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T21:07:05.703Z] 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.
[2025-09-24T21:07:05.703Z] The best model improves the baseline by 14.43%.
[2025-09-24T21:07:05.703Z] Top recommended movies for user id 72:
[2025-09-24T21:07:05.703Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T21:07:05.703Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T21:07:05.703Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T21:07:05.703Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T21:07:05.703Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T21:07:05.703Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19758.519 ms) ======
[2025-09-24T21:07:05.703Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-09-24T21:07:05.703Z] GC before operation: completed in 153.726 ms, heap usage 2.874 GB -> 97.315 MB.
[2025-09-24T21:07:09.164Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T21:07:11.645Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T21:07:15.090Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T21:07:17.610Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T21:07:19.210Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T21:07:20.812Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T21:07:23.298Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T21:07:24.896Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T21:07:24.896Z] 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.
[2025-09-24T21:07:24.896Z] The best model improves the baseline by 14.43%.
[2025-09-24T21:07:24.896Z] Top recommended movies for user id 72:
[2025-09-24T21:07:24.896Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T21:07:24.896Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T21:07:24.896Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T21:07:24.896Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T21:07:24.896Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T21:07:24.896Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19221.304 ms) ======
[2025-09-24T21:07:24.896Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-09-24T21:07:25.671Z] GC before operation: completed in 134.844 ms, heap usage 319.480 MB -> 90.958 MB.
[2025-09-24T21:07:28.152Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T21:07:31.602Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T21:07:34.089Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T21:07:37.541Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T21:07:39.157Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T21:07:40.761Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T21:07:42.379Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T21:07:43.988Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T21:07:44.763Z] 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.
[2025-09-24T21:07:44.763Z] The best model improves the baseline by 14.43%.
[2025-09-24T21:07:44.763Z] Top recommended movies for user id 72:
[2025-09-24T21:07:44.763Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T21:07:44.763Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T21:07:44.763Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T21:07:44.763Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T21:07:44.763Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T21:07:44.763Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19348.870 ms) ======
[2025-09-24T21:07:44.763Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-09-24T21:07:44.763Z] GC before operation: completed in 139.463 ms, heap usage 374.699 MB -> 91.511 MB.
[2025-09-24T21:07:48.214Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T21:07:50.699Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T21:07:54.141Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T21:07:56.629Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T21:07:58.510Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T21:08:00.117Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T21:08:01.720Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T21:08:04.211Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T21:08:04.212Z] 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.
[2025-09-24T21:08:04.212Z] The best model improves the baseline by 14.43%.
[2025-09-24T21:08:04.212Z] Top recommended movies for user id 72:
[2025-09-24T21:08:04.212Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T21:08:04.212Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T21:08:04.212Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T21:08:04.212Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T21:08:04.212Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T21:08:04.212Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19416.153 ms) ======
[2025-09-24T21:08:04.212Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-09-24T21:08:04.212Z] GC before operation: completed in 126.479 ms, heap usage 249.322 MB -> 91.145 MB.
[2025-09-24T21:08:07.660Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T21:08:10.152Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T21:08:13.594Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T21:08:16.098Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T21:08:17.700Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T21:08:20.194Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T21:08:21.790Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T21:08:23.391Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T21:08:23.391Z] 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.
[2025-09-24T21:08:23.391Z] The best model improves the baseline by 14.43%.
[2025-09-24T21:08:24.165Z] Top recommended movies for user id 72:
[2025-09-24T21:08:24.165Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T21:08:24.165Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T21:08:24.165Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T21:08:24.165Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T21:08:24.165Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T21:08:24.165Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19544.910 ms) ======
[2025-09-24T21:08:24.165Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-09-24T21:08:24.165Z] GC before operation: completed in 125.526 ms, heap usage 317.246 MB -> 91.686 MB.
[2025-09-24T21:08:26.657Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T21:08:30.097Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T21:08:32.596Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T21:08:36.036Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T21:08:37.642Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T21:08:39.253Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T21:08:41.731Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T21:08:42.681Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T21:08:43.462Z] 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.
[2025-09-24T21:08:43.462Z] The best model improves the baseline by 14.43%.
[2025-09-24T21:08:43.462Z] Top recommended movies for user id 72:
[2025-09-24T21:08:43.462Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T21:08:43.462Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T21:08:43.462Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T21:08:43.462Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T21:08:43.462Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T21:08:43.462Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19429.168 ms) ======
[2025-09-24T21:08:43.462Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-09-24T21:08:43.462Z] GC before operation: completed in 161.199 ms, heap usage 2.333 GB -> 97.631 MB.
[2025-09-24T21:08:46.908Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T21:08:49.401Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T21:08:52.844Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T21:08:55.335Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T21:08:56.954Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T21:08:58.556Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T21:09:01.546Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T21:09:02.336Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T21:09:02.336Z] 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.
[2025-09-24T21:09:02.336Z] The best model improves the baseline by 14.43%.
[2025-09-24T21:09:02.336Z] Top recommended movies for user id 72:
[2025-09-24T21:09:02.336Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T21:09:02.336Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T21:09:02.336Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T21:09:02.336Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T21:09:02.336Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T21:09:02.336Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19058.231 ms) ======
[2025-09-24T21:09:02.336Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-09-24T21:09:03.112Z] GC before operation: completed in 129.953 ms, heap usage 2.309 GB -> 97.918 MB.
[2025-09-24T21:09:05.617Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T21:09:08.115Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T21:09:11.557Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T21:09:15.013Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T21:09:16.618Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T21:09:18.225Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T21:09:19.823Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T21:09:21.459Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T21:09:22.238Z] 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.
[2025-09-24T21:09:22.238Z] The best model improves the baseline by 14.43%.
[2025-09-24T21:09:22.238Z] Top recommended movies for user id 72:
[2025-09-24T21:09:22.238Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T21:09:22.238Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T21:09:22.238Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T21:09:22.238Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T21:09:22.238Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T21:09:22.238Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19213.805 ms) ======
[2025-09-24T21:09:22.238Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-09-24T21:09:22.238Z] GC before operation: completed in 144.776 ms, heap usage 986.759 MB -> 95.211 MB.
[2025-09-24T21:09:24.729Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T21:09:28.173Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T21:09:30.683Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T21:09:33.165Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T21:09:34.764Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T21:09:36.367Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T21:09:37.983Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T21:09:39.581Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T21:09:40.357Z] 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.
[2025-09-24T21:09:40.357Z] The best model improves the baseline by 14.43%.
[2025-09-24T21:09:40.357Z] Top recommended movies for user id 72:
[2025-09-24T21:09:40.357Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T21:09:40.357Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T21:09:40.357Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T21:09:40.357Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T21:09:40.357Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T21:09:40.357Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18167.534 ms) ======
[2025-09-24T21:09:40.357Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-09-24T21:09:40.357Z] GC before operation: completed in 124.504 ms, heap usage 2.712 GB -> 98.193 MB.
[2025-09-24T21:09:42.843Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T21:09:46.320Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T21:09:49.815Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T21:09:52.297Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T21:09:53.895Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T21:09:55.510Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T21:09:58.003Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T21:09:59.636Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T21:09:59.636Z] 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.
[2025-09-24T21:09:59.636Z] The best model improves the baseline by 14.43%.
[2025-09-24T21:09:59.636Z] Top recommended movies for user id 72:
[2025-09-24T21:09:59.636Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T21:09:59.636Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T21:09:59.636Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T21:09:59.636Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T21:09:59.636Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T21:09:59.636Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19442.230 ms) ======
[2025-09-24T21:09:59.636Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-09-24T21:10:00.418Z] GC before operation: completed in 135.097 ms, heap usage 329.242 MB -> 91.946 MB.
[2025-09-24T21:10:04.296Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T21:10:05.902Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T21:10:09.366Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T21:10:11.857Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T21:10:14.352Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T21:10:15.955Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T21:10:17.557Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T21:10:19.169Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T21:10:19.169Z] 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.
[2025-09-24T21:10:19.169Z] The best model improves the baseline by 14.43%.
[2025-09-24T21:10:19.169Z] Top recommended movies for user id 72:
[2025-09-24T21:10:19.169Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T21:10:19.169Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T21:10:19.169Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T21:10:19.169Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T21:10:19.169Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T21:10:19.169Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19439.473 ms) ======
[2025-09-24T21:10:19.169Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-09-24T21:10:19.945Z] GC before operation: completed in 126.208 ms, heap usage 250.152 MB -> 91.653 MB.
[2025-09-24T21:10:22.431Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T21:10:25.907Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T21:10:28.393Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T21:10:31.839Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T21:10:33.444Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T21:10:35.046Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T21:10:36.646Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T21:10:38.250Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T21:10:39.024Z] 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.
[2025-09-24T21:10:39.024Z] The best model improves the baseline by 14.43%.
[2025-09-24T21:10:39.024Z] Top recommended movies for user id 72:
[2025-09-24T21:10:39.024Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T21:10:39.024Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T21:10:39.024Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T21:10:39.024Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T21:10:39.024Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T21:10:39.024Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19226.975 ms) ======
[2025-09-24T21:10:39.024Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-09-24T21:10:39.024Z] GC before operation: completed in 124.492 ms, heap usage 1.199 GB -> 96.945 MB.
[2025-09-24T21:10:41.509Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T21:10:44.949Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T21:10:47.442Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T21:10:50.895Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T21:10:52.501Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T21:10:54.106Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T21:10:55.707Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T21:10:57.307Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T21:10:58.082Z] 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.
[2025-09-24T21:10:58.082Z] The best model improves the baseline by 14.43%.
[2025-09-24T21:10:58.082Z] Top recommended movies for user id 72:
[2025-09-24T21:10:58.082Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T21:10:58.082Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T21:10:58.082Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T21:10:58.082Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T21:10:58.082Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T21:10:58.082Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19142.426 ms) ======
[2025-09-24T21:10:58.082Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-09-24T21:10:58.082Z] GC before operation: completed in 122.464 ms, heap usage 320.941 MB -> 91.734 MB.
[2025-09-24T21:11:01.542Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T21:11:04.076Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T21:11:06.827Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T21:11:10.277Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T21:11:11.883Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T21:11:13.483Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T21:11:15.090Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T21:11:16.773Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T21:11:17.546Z] 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.
[2025-09-24T21:11:17.546Z] The best model improves the baseline by 14.43%.
[2025-09-24T21:11:17.546Z] Top recommended movies for user id 72:
[2025-09-24T21:11:17.546Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T21:11:17.546Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T21:11:17.546Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T21:11:17.546Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T21:11:17.546Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T21:11:17.546Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19270.122 ms) ======
[2025-09-24T21:11:17.546Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-09-24T21:11:17.546Z] GC before operation: completed in 139.322 ms, heap usage 2.707 GB -> 98.219 MB.
[2025-09-24T21:11:20.054Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T21:11:23.518Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T21:11:26.008Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T21:11:28.507Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T21:11:30.115Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T21:11:31.720Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T21:11:33.319Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T21:11:34.922Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T21:11:35.697Z] 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.
[2025-09-24T21:11:35.697Z] The best model improves the baseline by 14.43%.
[2025-09-24T21:11:35.697Z] Top recommended movies for user id 72:
[2025-09-24T21:11:35.697Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T21:11:35.697Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T21:11:35.697Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T21:11:35.697Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T21:11:35.697Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T21:11:35.697Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17926.612 ms) ======
[2025-09-24T21:11:35.697Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-09-24T21:11:35.697Z] GC before operation: completed in 156.465 ms, heap usage 137.769 MB -> 95.490 MB.
[2025-09-24T21:11:38.200Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T21:11:41.655Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T21:11:45.107Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T21:11:47.599Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T21:11:49.198Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T21:11:50.838Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T21:11:53.326Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T21:11:54.928Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T21:11:54.928Z] 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.
[2025-09-24T21:11:54.928Z] The best model improves the baseline by 14.43%.
[2025-09-24T21:11:54.928Z] Top recommended movies for user id 72:
[2025-09-24T21:11:54.928Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T21:11:54.928Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T21:11:54.928Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T21:11:54.928Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T21:11:54.929Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T21:11:54.929Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19557.533 ms) ======
[2025-09-24T21:11:54.929Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-09-24T21:11:55.715Z] GC before operation: completed in 147.269 ms, heap usage 148.275 MB -> 91.661 MB.
[2025-09-24T21:11:58.199Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T21:12:00.700Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T21:12:04.149Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T21:12:07.163Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T21:12:07.952Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T21:12:09.560Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T21:12:12.054Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T21:12:13.667Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T21:12:13.667Z] 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.
[2025-09-24T21:12:13.667Z] The best model improves the baseline by 14.43%.
[2025-09-24T21:12:13.667Z] Top recommended movies for user id 72:
[2025-09-24T21:12:13.667Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T21:12:13.667Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T21:12:13.667Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T21:12:13.667Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T21:12:13.667Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T21:12:13.667Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18317.178 ms) ======
[2025-09-24T21:12:14.441Z] -----------------------------------
[2025-09-24T21:12:14.441Z] renaissance-movie-lens_0_PASSED
[2025-09-24T21:12:14.441Z] -----------------------------------
[2025-09-24T21:12:14.441Z]
[2025-09-24T21:12:14.441Z] TEST TEARDOWN:
[2025-09-24T21:12:14.441Z] Nothing to be done for teardown.
[2025-09-24T21:12:14.441Z] renaissance-movie-lens_0 Finish Time: Wed Sep 24 21:12:14 2025 Epoch Time (ms): 1758748334121