renaissance-movie-lens_0
[2025-08-28T07:14:39.885Z] Running test renaissance-movie-lens_0 ...
[2025-08-28T07:14:39.885Z] ===============================================
[2025-08-28T07:14:39.885Z] renaissance-movie-lens_0 Start Time: Thu Aug 28 07:14:39 2025 Epoch Time (ms): 1756365279470
[2025-08-28T07:14:39.885Z] variation: NoOptions
[2025-08-28T07:14:39.885Z] JVM_OPTIONS:
[2025-08-28T07:14:39.885Z] { \
[2025-08-28T07:14:39.885Z] echo ""; echo "TEST SETUP:"; \
[2025-08-28T07:14:39.885Z] echo "Nothing to be done for setup."; \
[2025-08-28T07:14:39.885Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17563635946606/renaissance-movie-lens_0"; \
[2025-08-28T07:14:39.885Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17563635946606/renaissance-movie-lens_0"; \
[2025-08-28T07:14:39.885Z] echo ""; echo "TESTING:"; \
[2025-08-28T07:14:39.885Z] "/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_17563635946606/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-08-28T07:14:39.885Z] 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_17563635946606/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-08-28T07:14:39.885Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-08-28T07:14:39.885Z] echo "Nothing to be done for teardown."; \
[2025-08-28T07:14:39.885Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17563635946606/TestTargetResult";
[2025-08-28T07:14:39.885Z]
[2025-08-28T07:14:39.885Z] TEST SETUP:
[2025-08-28T07:14:39.885Z] Nothing to be done for setup.
[2025-08-28T07:14:39.885Z]
[2025-08-28T07:14:39.885Z] TESTING:
[2025-08-28T07:14:48.193Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-08-28T07:15:01.993Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-08-28T07:15:02.769Z] Training: 60056, validation: 20285, test: 19854
[2025-08-28T07:15:02.769Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-08-28T07:15:02.769Z] GC before operation: completed in 196.186 ms, heap usage 681.367 MB -> 75.456 MB.
[2025-08-28T07:15:09.684Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T07:15:13.148Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T07:15:17.645Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T07:15:22.130Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T07:15:24.618Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T07:15:27.114Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T07:15:29.612Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T07:15:32.094Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T07:15:32.094Z] 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.
[2025-08-28T07:15:32.094Z] The best model improves the baseline by 14.43%.
[2025-08-28T07:15:32.868Z] Top recommended movies for user id 72:
[2025-08-28T07:15:32.868Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-28T07:15:32.868Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-28T07:15:32.868Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-28T07:15:32.868Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-28T07:15:32.868Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-28T07:15:32.868Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29818.281 ms) ======
[2025-08-28T07:15:32.868Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-08-28T07:15:32.868Z] GC before operation: completed in 223.623 ms, heap usage 573.732 MB -> 88.112 MB.
[2025-08-28T07:15:37.340Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T07:15:40.774Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T07:15:44.211Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T07:15:47.669Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T07:15:50.159Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T07:15:52.651Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T07:15:55.137Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T07:15:57.618Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T07:15:57.618Z] 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.
[2025-08-28T07:15:57.618Z] The best model improves the baseline by 14.43%.
[2025-08-28T07:15:57.618Z] Top recommended movies for user id 72:
[2025-08-28T07:15:57.618Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-28T07:15:57.618Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-28T07:15:57.618Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-28T07:15:57.618Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-28T07:15:57.618Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-28T07:15:57.618Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25154.960 ms) ======
[2025-08-28T07:15:57.618Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-08-28T07:15:58.392Z] GC before operation: completed in 256.684 ms, heap usage 685.001 MB -> 91.086 MB.
[2025-08-28T07:16:01.830Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T07:16:05.278Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T07:16:08.723Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T07:16:12.166Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T07:16:14.684Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T07:16:17.165Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T07:16:18.772Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T07:16:21.268Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T07:16:21.268Z] 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.
[2025-08-28T07:16:22.042Z] The best model improves the baseline by 14.43%.
[2025-08-28T07:16:22.042Z] Top recommended movies for user id 72:
[2025-08-28T07:16:22.042Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-28T07:16:22.042Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-28T07:16:22.042Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-28T07:16:22.042Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-28T07:16:22.042Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-28T07:16:22.042Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23783.575 ms) ======
[2025-08-28T07:16:22.042Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-08-28T07:16:22.042Z] GC before operation: completed in 238.502 ms, heap usage 322.307 MB -> 91.531 MB.
[2025-08-28T07:16:25.484Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T07:16:28.918Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T07:16:33.425Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T07:16:35.916Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T07:16:38.595Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T07:16:41.074Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T07:16:42.690Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T07:16:45.175Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T07:16:45.175Z] 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.
[2025-08-28T07:16:45.175Z] The best model improves the baseline by 14.43%.
[2025-08-28T07:16:45.953Z] Top recommended movies for user id 72:
[2025-08-28T07:16:45.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-28T07:16:45.953Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-28T07:16:45.953Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-28T07:16:45.953Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-28T07:16:45.953Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-28T07:16:45.953Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23499.489 ms) ======
[2025-08-28T07:16:45.953Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-08-28T07:16:45.953Z] GC before operation: completed in 234.404 ms, heap usage 1.071 GB -> 95.972 MB.
[2025-08-28T07:16:49.395Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T07:16:52.841Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T07:16:56.279Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T07:16:59.725Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T07:17:02.207Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T07:17:03.814Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T07:17:06.299Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T07:17:08.779Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T07:17:08.779Z] 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.
[2025-08-28T07:17:08.779Z] The best model improves the baseline by 14.43%.
[2025-08-28T07:17:09.574Z] Top recommended movies for user id 72:
[2025-08-28T07:17:09.574Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-28T07:17:09.574Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-28T07:17:09.574Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-28T07:17:09.574Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-28T07:17:09.574Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-28T07:17:09.574Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (23291.059 ms) ======
[2025-08-28T07:17:09.574Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-08-28T07:17:09.574Z] GC before operation: completed in 230.765 ms, heap usage 118.199 MB -> 93.549 MB.
[2025-08-28T07:17:13.187Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T07:17:16.662Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T07:17:20.105Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T07:17:23.547Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T07:17:25.145Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T07:17:27.645Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T07:17:30.138Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T07:17:31.732Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T07:17:32.505Z] 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.
[2025-08-28T07:17:32.505Z] The best model improves the baseline by 14.43%.
[2025-08-28T07:17:32.505Z] Top recommended movies for user id 72:
[2025-08-28T07:17:32.505Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-28T07:17:32.505Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-28T07:17:32.505Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-28T07:17:32.505Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-28T07:17:32.505Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-28T07:17:32.505Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (23078.447 ms) ======
[2025-08-28T07:17:32.505Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-08-28T07:17:32.505Z] GC before operation: completed in 234.928 ms, heap usage 483.121 MB -> 92.264 MB.
[2025-08-28T07:17:35.955Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T07:17:40.457Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T07:17:43.906Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T07:17:47.386Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T07:17:48.999Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T07:17:51.521Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T07:17:53.118Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T07:17:55.611Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T07:17:55.611Z] 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.
[2025-08-28T07:17:55.611Z] The best model improves the baseline by 14.43%.
[2025-08-28T07:17:56.387Z] Top recommended movies for user id 72:
[2025-08-28T07:17:56.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-28T07:17:56.387Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-28T07:17:56.387Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-28T07:17:56.387Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-28T07:17:56.387Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-28T07:17:56.387Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (23309.655 ms) ======
[2025-08-28T07:17:56.387Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-08-28T07:17:56.387Z] GC before operation: completed in 236.849 ms, heap usage 777.877 MB -> 95.676 MB.
[2025-08-28T07:17:59.822Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T07:18:03.265Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T07:18:06.703Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T07:18:10.141Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T07:18:12.639Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T07:18:14.237Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T07:18:16.726Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T07:18:19.232Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T07:18:19.232Z] 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.
[2025-08-28T07:18:19.232Z] The best model improves the baseline by 14.43%.
[2025-08-28T07:18:19.232Z] Top recommended movies for user id 72:
[2025-08-28T07:18:19.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-28T07:18:19.232Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-28T07:18:19.232Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-28T07:18:19.232Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-28T07:18:19.232Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-28T07:18:19.232Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23209.934 ms) ======
[2025-08-28T07:18:19.232Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-08-28T07:18:20.004Z] GC before operation: completed in 217.662 ms, heap usage 428.895 MB -> 95.496 MB.
[2025-08-28T07:18:23.528Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T07:18:26.970Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T07:18:30.421Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T07:18:33.863Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T07:18:35.471Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T07:18:37.953Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T07:18:40.440Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T07:18:42.044Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T07:18:42.817Z] 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.
[2025-08-28T07:18:42.817Z] The best model improves the baseline by 14.43%.
[2025-08-28T07:18:42.817Z] Top recommended movies for user id 72:
[2025-08-28T07:18:42.817Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-28T07:18:42.817Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-28T07:18:42.817Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-28T07:18:42.817Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-28T07:18:42.817Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-28T07:18:42.817Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (23292.382 ms) ======
[2025-08-28T07:18:42.817Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-08-28T07:18:43.588Z] GC before operation: completed in 203.615 ms, heap usage 452.463 MB -> 92.108 MB.
[2025-08-28T07:18:47.023Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T07:18:50.458Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T07:18:53.914Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T07:18:57.344Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T07:18:59.828Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T07:19:01.427Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T07:19:03.907Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T07:19:05.518Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T07:19:06.292Z] 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.
[2025-08-28T07:19:06.292Z] The best model improves the baseline by 14.43%.
[2025-08-28T07:19:06.292Z] Top recommended movies for user id 72:
[2025-08-28T07:19:06.292Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-28T07:19:06.292Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-28T07:19:06.292Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-28T07:19:06.292Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-28T07:19:06.292Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-28T07:19:06.292Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23189.831 ms) ======
[2025-08-28T07:19:06.292Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-08-28T07:19:06.292Z] GC before operation: completed in 224.638 ms, heap usage 398.871 MB -> 92.295 MB.
[2025-08-28T07:19:10.774Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T07:19:13.258Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T07:19:17.736Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T07:19:21.180Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T07:19:22.792Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T07:19:25.271Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T07:19:26.865Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T07:19:29.357Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T07:19:29.357Z] 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.
[2025-08-28T07:19:30.129Z] The best model improves the baseline by 14.43%.
[2025-08-28T07:19:30.130Z] Top recommended movies for user id 72:
[2025-08-28T07:19:30.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-28T07:19:30.130Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-28T07:19:30.130Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-28T07:19:30.130Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-28T07:19:30.130Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-28T07:19:30.130Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (23327.305 ms) ======
[2025-08-28T07:19:30.130Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-08-28T07:19:30.130Z] GC before operation: completed in 248.749 ms, heap usage 480.014 MB -> 92.142 MB.
[2025-08-28T07:19:33.573Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T07:19:37.027Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T07:19:41.521Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T07:19:44.000Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T07:19:46.489Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T07:19:48.105Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T07:19:50.598Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T07:19:53.099Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T07:19:53.099Z] 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.
[2025-08-28T07:19:53.099Z] The best model improves the baseline by 14.43%.
[2025-08-28T07:19:53.099Z] Top recommended movies for user id 72:
[2025-08-28T07:19:53.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-28T07:19:53.099Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-28T07:19:53.099Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-28T07:19:53.099Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-28T07:19:53.099Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-28T07:19:53.099Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (23021.448 ms) ======
[2025-08-28T07:19:53.099Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-08-28T07:19:53.099Z] GC before operation: completed in 224.659 ms, heap usage 486.274 MB -> 92.425 MB.
[2025-08-28T07:19:57.580Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T07:20:01.021Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T07:20:04.467Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T07:20:07.906Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T07:20:09.500Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T07:20:12.024Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T07:20:14.510Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T07:20:16.115Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T07:20:16.887Z] 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.
[2025-08-28T07:20:16.887Z] The best model improves the baseline by 14.43%.
[2025-08-28T07:20:16.887Z] Top recommended movies for user id 72:
[2025-08-28T07:20:16.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-28T07:20:16.887Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-28T07:20:16.887Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-28T07:20:16.887Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-28T07:20:16.887Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-28T07:20:16.887Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23376.332 ms) ======
[2025-08-28T07:20:16.887Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-08-28T07:20:16.887Z] GC before operation: completed in 231.713 ms, heap usage 435.898 MB -> 92.395 MB.
[2025-08-28T07:20:20.321Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T07:20:23.770Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T07:20:28.259Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T07:20:30.748Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T07:20:33.245Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T07:20:34.846Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T07:20:37.331Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T07:20:39.812Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T07:20:39.812Z] 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.
[2025-08-28T07:20:39.812Z] The best model improves the baseline by 14.43%.
[2025-08-28T07:20:39.812Z] Top recommended movies for user id 72:
[2025-08-28T07:20:39.812Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-28T07:20:39.812Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-28T07:20:39.812Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-28T07:20:39.812Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-28T07:20:39.812Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-28T07:20:39.812Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23023.838 ms) ======
[2025-08-28T07:20:39.812Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-08-28T07:20:40.584Z] GC before operation: completed in 223.246 ms, heap usage 1.258 GB -> 96.824 MB.
[2025-08-28T07:20:44.042Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T07:20:47.478Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T07:20:50.934Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T07:20:54.379Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T07:20:56.868Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T07:20:58.469Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T07:21:00.956Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T07:21:03.435Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T07:21:03.435Z] 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.
[2025-08-28T07:21:03.435Z] The best model improves the baseline by 14.43%.
[2025-08-28T07:21:03.435Z] Top recommended movies for user id 72:
[2025-08-28T07:21:03.435Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-28T07:21:03.435Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-28T07:21:03.435Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-28T07:21:03.435Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-28T07:21:03.435Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-28T07:21:03.435Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23347.868 ms) ======
[2025-08-28T07:21:03.435Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-08-28T07:21:04.208Z] GC before operation: completed in 228.265 ms, heap usage 962.664 MB -> 96.293 MB.
[2025-08-28T07:21:07.655Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T07:21:11.092Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T07:21:14.543Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T07:21:17.992Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T07:21:19.594Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T07:21:22.083Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T07:21:23.680Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T07:21:26.185Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T07:21:26.185Z] 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.
[2025-08-28T07:21:26.185Z] The best model improves the baseline by 14.43%.
[2025-08-28T07:21:26.962Z] Top recommended movies for user id 72:
[2025-08-28T07:21:26.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-28T07:21:26.962Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-28T07:21:26.962Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-28T07:21:26.962Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-28T07:21:26.962Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-28T07:21:26.962Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (22868.760 ms) ======
[2025-08-28T07:21:26.962Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-08-28T07:21:26.962Z] GC before operation: completed in 202.365 ms, heap usage 572.559 MB -> 92.398 MB.
[2025-08-28T07:21:30.400Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T07:21:33.839Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T07:21:37.450Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T07:21:40.899Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T07:21:42.498Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T07:21:44.984Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T07:21:47.483Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T07:21:49.092Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T07:21:49.866Z] 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.
[2025-08-28T07:21:49.866Z] The best model improves the baseline by 14.43%.
[2025-08-28T07:21:49.866Z] Top recommended movies for user id 72:
[2025-08-28T07:21:49.866Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-28T07:21:49.866Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-28T07:21:49.866Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-28T07:21:49.866Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-28T07:21:49.866Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-28T07:21:49.866Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22842.332 ms) ======
[2025-08-28T07:21:49.866Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-08-28T07:21:49.866Z] GC before operation: completed in 223.592 ms, heap usage 243.981 MB -> 92.264 MB.
[2025-08-28T07:21:53.332Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T07:21:56.765Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T07:22:00.197Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T07:22:03.656Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T07:22:06.152Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T07:22:08.635Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T07:22:10.229Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T07:22:12.709Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T07:22:12.709Z] 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.
[2025-08-28T07:22:12.709Z] The best model improves the baseline by 14.43%.
[2025-08-28T07:22:13.491Z] Top recommended movies for user id 72:
[2025-08-28T07:22:13.491Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-28T07:22:13.491Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-28T07:22:13.491Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-28T07:22:13.491Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-28T07:22:13.491Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-28T07:22:13.491Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23214.610 ms) ======
[2025-08-28T07:22:13.491Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-08-28T07:22:13.491Z] GC before operation: completed in 208.935 ms, heap usage 171.522 MB -> 92.016 MB.
[2025-08-28T07:22:16.936Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T07:22:20.373Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T07:22:23.806Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T07:22:27.271Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T07:22:29.762Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T07:22:31.362Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T07:22:33.857Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T07:22:36.340Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T07:22:36.340Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-28T07:22:36.340Z] The best model improves the baseline by 14.43%.
[2025-08-28T07:22:37.125Z] Top recommended movies for user id 72:
[2025-08-28T07:22:37.125Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-28T07:22:37.125Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-28T07:22:37.125Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-28T07:22:37.125Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-28T07:22:37.125Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-28T07:22:37.125Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23369.837 ms) ======
[2025-08-28T07:22:37.125Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-08-28T07:22:37.125Z] GC before operation: completed in 228.724 ms, heap usage 450.263 MB -> 92.379 MB.
[2025-08-28T07:22:40.562Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T07:22:44.008Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T07:22:47.445Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T07:22:50.881Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T07:22:53.360Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T07:22:54.975Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T07:22:57.463Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T07:22:59.944Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T07:22:59.944Z] 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.
[2025-08-28T07:22:59.944Z] The best model improves the baseline by 14.43%.
[2025-08-28T07:22:59.944Z] Top recommended movies for user id 72:
[2025-08-28T07:22:59.944Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-28T07:22:59.944Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-28T07:22:59.944Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-28T07:22:59.944Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-28T07:22:59.944Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-28T07:22:59.944Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23192.276 ms) ======
[2025-08-28T07:23:00.715Z] -----------------------------------
[2025-08-28T07:23:00.715Z] renaissance-movie-lens_0_PASSED
[2025-08-28T07:23:00.715Z] -----------------------------------
[2025-08-28T07:23:00.715Z]
[2025-08-28T07:23:00.715Z] TEST TEARDOWN:
[2025-08-28T07:23:00.715Z] Nothing to be done for teardown.
[2025-08-28T07:23:00.715Z] renaissance-movie-lens_0 Finish Time: Thu Aug 28 07:23:00 2025 Epoch Time (ms): 1756365780337