renaissance-movie-lens_0
[2025-08-27T21:33:54.323Z] Running test renaissance-movie-lens_0 ...
[2025-08-27T21:33:54.323Z] ===============================================
[2025-08-27T21:33:54.323Z] renaissance-movie-lens_0 Start Time: Wed Aug 27 22:33:54 2025 Epoch Time (ms): 1756330434018
[2025-08-27T21:33:54.323Z] variation: NoOptions
[2025-08-27T21:33:54.323Z] JVM_OPTIONS:
[2025-08-27T21:33:54.323Z] { \
[2025-08-27T21:33:54.323Z] echo ""; echo "TEST SETUP:"; \
[2025-08-27T21:33:54.323Z] echo "Nothing to be done for setup."; \
[2025-08-27T21:33:54.323Z] mkdir -p "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17563245742158/renaissance-movie-lens_0"; \
[2025-08-27T21:33:54.323Z] cd "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17563245742158/renaissance-movie-lens_0"; \
[2025-08-27T21:33:54.323Z] echo ""; echo "TESTING:"; \
[2025-08-27T21:33:54.323Z] "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17563245742158/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-08-27T21:33:54.323Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17563245742158/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-08-27T21:33:54.323Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-08-27T21:33:54.323Z] echo "Nothing to be done for teardown."; \
[2025-08-27T21:33:54.323Z] } 2>&1 | tee -a "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17563245742158/TestTargetResult";
[2025-08-27T21:33:54.323Z]
[2025-08-27T21:33:54.323Z] TEST SETUP:
[2025-08-27T21:33:54.323Z] Nothing to be done for setup.
[2025-08-27T21:33:54.323Z]
[2025-08-27T21:33:54.323Z] TESTING:
[2025-08-27T21:34:00.429Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-08-27T21:34:09.589Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-08-27T21:34:09.589Z] Training: 60056, validation: 20285, test: 19854
[2025-08-27T21:34:09.589Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-08-27T21:34:09.589Z] GC before operation: completed in 84.638 ms, heap usage 235.513 MB -> 76.392 MB.
[2025-08-27T21:34:29.129Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T21:34:42.644Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T21:34:56.083Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T21:35:07.232Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T21:35:12.178Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T21:35:18.302Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T21:35:25.823Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T21:35:31.953Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T21:35:31.953Z] 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.
[2025-08-27T21:35:31.953Z] The best model improves the baseline by 14.43%.
[2025-08-27T21:35:31.953Z] Top recommended movies for user id 72:
[2025-08-27T21:35:31.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T21:35:31.953Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T21:35:31.953Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T21:35:31.953Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T21:35:31.953Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T21:35:31.953Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (82427.535 ms) ======
[2025-08-27T21:35:31.953Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-08-27T21:35:31.953Z] GC before operation: completed in 123.856 ms, heap usage 961.281 MB -> 113.191 MB.
[2025-08-27T21:35:45.390Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T21:35:56.541Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T21:36:09.996Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T21:36:19.159Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T21:36:26.671Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T21:36:31.618Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T21:36:39.166Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T21:36:44.109Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T21:36:44.471Z] 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.
[2025-08-27T21:36:44.471Z] The best model improves the baseline by 14.43%.
[2025-08-27T21:36:44.471Z] Top recommended movies for user id 72:
[2025-08-27T21:36:44.471Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T21:36:44.471Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T21:36:44.471Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T21:36:44.471Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T21:36:44.471Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T21:36:44.471Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (72537.791 ms) ======
[2025-08-27T21:36:44.471Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-08-27T21:36:44.839Z] GC before operation: completed in 111.438 ms, heap usage 904.034 MB -> 119.458 MB.
[2025-08-27T21:36:58.308Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T21:37:11.783Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T21:37:29.843Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T21:37:39.067Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T21:37:45.228Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T21:37:50.211Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T21:37:57.728Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T21:38:02.707Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T21:38:03.081Z] 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.
[2025-08-27T21:38:03.081Z] The best model improves the baseline by 14.43%.
[2025-08-27T21:38:03.081Z] Top recommended movies for user id 72:
[2025-08-27T21:38:03.081Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T21:38:03.081Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T21:38:03.081Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T21:38:03.081Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T21:38:03.081Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T21:38:03.081Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (78476.068 ms) ======
[2025-08-27T21:38:03.081Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-08-27T21:38:03.437Z] GC before operation: completed in 107.834 ms, heap usage 488.567 MB -> 120.069 MB.
[2025-08-27T21:38:14.632Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T21:38:25.784Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T21:38:39.239Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T21:38:48.544Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T21:38:54.700Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T21:38:59.665Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T21:39:07.349Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T21:39:12.326Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T21:39:12.326Z] 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.
[2025-08-27T21:39:12.326Z] The best model improves the baseline by 14.43%.
[2025-08-27T21:39:12.680Z] Top recommended movies for user id 72:
[2025-08-27T21:39:12.680Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T21:39:12.680Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T21:39:12.680Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T21:39:12.680Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T21:39:12.680Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T21:39:12.680Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (69266.758 ms) ======
[2025-08-27T21:39:12.680Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-08-27T21:39:12.680Z] GC before operation: completed in 110.005 ms, heap usage 362.589 MB -> 120.275 MB.
[2025-08-27T21:39:26.117Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T21:39:37.235Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T21:39:55.042Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T21:40:06.160Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T21:40:11.134Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T21:40:16.075Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T21:40:23.590Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T21:40:29.719Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T21:40:29.719Z] 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.
[2025-08-27T21:40:29.719Z] The best model improves the baseline by 14.43%.
[2025-08-27T21:40:29.719Z] Top recommended movies for user id 72:
[2025-08-27T21:40:29.719Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T21:40:29.719Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T21:40:29.719Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T21:40:29.719Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T21:40:29.719Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T21:40:29.719Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (76806.189 ms) ======
[2025-08-27T21:40:29.719Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-08-27T21:40:29.719Z] GC before operation: completed in 98.024 ms, heap usage 1.016 GB -> 101.230 MB.
[2025-08-27T21:40:40.859Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T21:40:54.413Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T21:41:05.553Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T21:41:16.737Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T21:41:21.681Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T21:41:26.626Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T21:41:34.182Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T21:41:39.214Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T21:41:39.585Z] 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.
[2025-08-27T21:41:39.585Z] The best model improves the baseline by 14.43%.
[2025-08-27T21:41:39.946Z] Top recommended movies for user id 72:
[2025-08-27T21:41:39.946Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T21:41:39.946Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T21:41:39.946Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T21:41:39.946Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T21:41:39.946Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T21:41:39.946Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (70224.289 ms) ======
[2025-08-27T21:41:39.946Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-08-27T21:41:39.946Z] GC before operation: completed in 109.697 ms, heap usage 991.764 MB -> 120.976 MB.
[2025-08-27T21:41:53.423Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T21:42:04.535Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T21:42:17.976Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T21:42:34.972Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T21:42:39.925Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T21:42:44.937Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T21:42:52.461Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T21:43:00.007Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T21:43:00.359Z] 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.
[2025-08-27T21:43:00.359Z] The best model improves the baseline by 14.43%.
[2025-08-27T21:43:00.714Z] Top recommended movies for user id 72:
[2025-08-27T21:43:00.714Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T21:43:00.715Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T21:43:00.715Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T21:43:00.715Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T21:43:00.715Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T21:43:00.715Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (80709.461 ms) ======
[2025-08-27T21:43:00.715Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-08-27T21:43:00.715Z] GC before operation: completed in 92.889 ms, heap usage 355.527 MB -> 94.199 MB.
[2025-08-27T21:43:14.150Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T21:43:34.467Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T21:43:45.595Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T21:43:56.765Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T21:44:01.710Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T21:44:06.713Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T21:44:14.361Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T21:44:19.325Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T21:44:19.325Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-27T21:44:19.325Z] The best model improves the baseline by 14.43%.
[2025-08-27T21:44:19.685Z] Top recommended movies for user id 72:
[2025-08-27T21:44:19.685Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T21:44:19.685Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T21:44:19.685Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T21:44:19.685Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T21:44:19.685Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T21:44:19.685Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (78810.423 ms) ======
[2025-08-27T21:44:19.685Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-08-27T21:44:19.685Z] GC before operation: completed in 111.748 ms, heap usage 326.944 MB -> 120.709 MB.
[2025-08-27T21:44:30.822Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T21:44:44.259Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T21:44:55.376Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T21:45:06.508Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T21:45:11.463Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T21:45:17.658Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T21:45:23.777Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T21:45:29.897Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T21:45:29.897Z] 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.
[2025-08-27T21:45:29.897Z] The best model improves the baseline by 14.43%.
[2025-08-27T21:45:29.897Z] Top recommended movies for user id 72:
[2025-08-27T21:45:29.897Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T21:45:29.897Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T21:45:29.897Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T21:45:29.897Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T21:45:29.897Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T21:45:29.897Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (70040.966 ms) ======
[2025-08-27T21:45:29.897Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-08-27T21:45:29.897Z] GC before operation: completed in 105.626 ms, heap usage 921.033 MB -> 120.967 MB.
[2025-08-27T21:45:43.425Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T21:45:56.891Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T21:46:10.398Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T21:46:22.039Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T21:46:26.986Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T21:46:33.139Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T21:46:39.263Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T21:46:45.420Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T21:46:45.420Z] 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.
[2025-08-27T21:46:45.420Z] The best model improves the baseline by 14.43%.
[2025-08-27T21:46:45.420Z] Top recommended movies for user id 72:
[2025-08-27T21:46:45.420Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T21:46:45.420Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T21:46:45.420Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T21:46:45.420Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T21:46:45.420Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T21:46:45.420Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (75527.380 ms) ======
[2025-08-27T21:46:45.420Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-08-27T21:46:45.420Z] GC before operation: completed in 109.848 ms, heap usage 513.072 MB -> 120.651 MB.
[2025-08-27T21:46:58.873Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T21:47:12.345Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T21:47:28.607Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T21:47:37.917Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T21:47:44.045Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T21:47:49.013Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T21:47:56.546Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T21:48:01.584Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T21:48:01.584Z] 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.
[2025-08-27T21:48:01.584Z] The best model improves the baseline by 14.43%.
[2025-08-27T21:48:01.584Z] Top recommended movies for user id 72:
[2025-08-27T21:48:01.584Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T21:48:01.584Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T21:48:01.584Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T21:48:01.584Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T21:48:01.584Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T21:48:01.584Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (76311.208 ms) ======
[2025-08-27T21:48:01.584Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-08-27T21:48:01.938Z] GC before operation: completed in 106.071 ms, heap usage 991.404 MB -> 120.841 MB.
[2025-08-27T21:48:13.086Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T21:48:24.377Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T21:48:37.897Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T21:48:47.064Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T21:48:53.208Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T21:48:59.395Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T21:49:05.558Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T21:49:11.698Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T21:49:11.698Z] 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.
[2025-08-27T21:49:11.698Z] The best model improves the baseline by 14.43%.
[2025-08-27T21:49:11.698Z] Top recommended movies for user id 72:
[2025-08-27T21:49:11.698Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T21:49:11.698Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T21:49:11.698Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T21:49:11.698Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T21:49:11.698Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T21:49:11.698Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (69666.204 ms) ======
[2025-08-27T21:49:11.698Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-08-27T21:49:11.698Z] GC before operation: completed in 113.272 ms, heap usage 930.595 MB -> 121.113 MB.
[2025-08-27T21:49:25.397Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T21:49:36.569Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T21:49:52.800Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T21:50:04.014Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T21:50:09.029Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T21:50:15.170Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T21:50:21.378Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T21:50:27.498Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T21:50:27.498Z] 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.
[2025-08-27T21:50:27.498Z] The best model improves the baseline by 14.43%.
[2025-08-27T21:50:27.498Z] Top recommended movies for user id 72:
[2025-08-27T21:50:27.498Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T21:50:27.498Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T21:50:27.498Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T21:50:27.498Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T21:50:27.498Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T21:50:27.498Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (75646.450 ms) ======
[2025-08-27T21:50:27.498Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-08-27T21:50:27.498Z] GC before operation: completed in 102.484 ms, heap usage 268.425 MB -> 120.921 MB.
[2025-08-27T21:50:38.697Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T21:50:52.178Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T21:51:05.654Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T21:51:14.807Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T21:51:20.925Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T21:51:25.872Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T21:51:35.036Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T21:51:41.157Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T21:51:41.157Z] 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.
[2025-08-27T21:51:41.157Z] The best model improves the baseline by 14.43%.
[2025-08-27T21:51:41.511Z] Top recommended movies for user id 72:
[2025-08-27T21:51:41.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T21:51:41.511Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T21:51:41.511Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T21:51:41.511Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T21:51:41.511Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T21:51:41.511Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (74149.998 ms) ======
[2025-08-27T21:51:41.511Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-08-27T21:51:41.511Z] GC before operation: completed in 105.662 ms, heap usage 766.862 MB -> 99.346 MB.
[2025-08-27T21:52:06.570Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T21:52:20.054Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T21:52:33.519Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T21:52:47.056Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T21:52:52.013Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T21:52:58.136Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T21:53:07.289Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T21:53:11.267Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T21:53:11.621Z] 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.
[2025-08-27T21:53:11.621Z] The best model improves the baseline by 14.43%.
[2025-08-27T21:53:11.975Z] Top recommended movies for user id 72:
[2025-08-27T21:53:11.975Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T21:53:11.975Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T21:53:11.975Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T21:53:11.975Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T21:53:11.975Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T21:53:11.975Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (90300.902 ms) ======
[2025-08-27T21:53:11.975Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-08-27T21:53:11.975Z] GC before operation: completed in 121.040 ms, heap usage 693.836 MB -> 121.215 MB.
[2025-08-27T21:53:30.320Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T21:53:44.507Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T21:53:57.987Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T21:54:09.105Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T21:54:15.246Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T21:54:21.368Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T21:54:28.893Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T21:54:33.840Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T21:54:33.840Z] 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.
[2025-08-27T21:54:33.840Z] The best model improves the baseline by 14.43%.
[2025-08-27T21:54:33.840Z] Top recommended movies for user id 72:
[2025-08-27T21:54:33.840Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T21:54:33.840Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T21:54:33.840Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T21:54:33.840Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T21:54:33.840Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T21:54:33.840Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (81534.463 ms) ======
[2025-08-27T21:54:33.840Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-08-27T21:54:33.840Z] GC before operation: completed in 107.675 ms, heap usage 993.792 MB -> 110.034 MB.
[2025-08-27T21:54:44.981Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T21:54:58.420Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T21:55:11.889Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T21:55:29.768Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T21:55:35.886Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T21:55:42.004Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T21:55:49.510Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T21:55:54.526Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T21:55:54.526Z] 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.
[2025-08-27T21:55:54.526Z] The best model improves the baseline by 14.43%.
[2025-08-27T21:55:54.526Z] Top recommended movies for user id 72:
[2025-08-27T21:55:54.526Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T21:55:54.526Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T21:55:54.526Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T21:55:54.526Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T21:55:54.526Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T21:55:54.526Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (80813.064 ms) ======
[2025-08-27T21:55:54.526Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-08-27T21:55:54.526Z] GC before operation: completed in 138.213 ms, heap usage 1.714 GB -> 120.983 MB.
[2025-08-27T21:56:07.955Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T21:56:19.068Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T21:56:30.211Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T21:56:41.429Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T21:56:46.375Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T21:56:52.506Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T21:57:00.037Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T21:57:04.985Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T21:57:04.985Z] 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.
[2025-08-27T21:57:04.985Z] The best model improves the baseline by 14.43%.
[2025-08-27T21:57:04.985Z] Top recommended movies for user id 72:
[2025-08-27T21:57:04.985Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T21:57:04.985Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T21:57:04.985Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T21:57:04.985Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T21:57:04.985Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T21:57:04.985Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (70338.284 ms) ======
[2025-08-27T21:57:04.985Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-08-27T21:57:04.985Z] GC before operation: completed in 111.705 ms, heap usage 596.846 MB -> 120.862 MB.
[2025-08-27T21:57:18.421Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T21:57:29.568Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T21:57:45.814Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T21:57:56.917Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T21:58:03.068Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T21:58:08.029Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T21:58:15.554Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T21:58:20.512Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T21:58:20.512Z] 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.
[2025-08-27T21:58:20.512Z] The best model improves the baseline by 14.43%.
[2025-08-27T21:58:20.870Z] Top recommended movies for user id 72:
[2025-08-27T21:58:20.870Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T21:58:20.870Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T21:58:20.870Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T21:58:20.870Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T21:58:20.870Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T21:58:20.870Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (75672.552 ms) ======
[2025-08-27T21:58:20.870Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-08-27T21:58:20.870Z] GC before operation: completed in 99.742 ms, heap usage 1.145 GB -> 107.218 MB.
[2025-08-27T21:58:31.983Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T21:58:45.413Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T21:58:56.530Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T21:59:07.650Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T21:59:12.600Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T21:59:18.769Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T21:59:24.964Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T21:59:31.092Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T21:59:31.093Z] 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.
[2025-08-27T21:59:31.093Z] The best model improves the baseline by 14.43%.
[2025-08-27T21:59:31.093Z] Top recommended movies for user id 72:
[2025-08-27T21:59:31.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T21:59:31.093Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T21:59:31.093Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T21:59:31.093Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T21:59:31.093Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T21:59:31.093Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (70169.094 ms) ======
[2025-08-27T21:59:32.875Z] -----------------------------------
[2025-08-27T21:59:32.875Z] renaissance-movie-lens_0_PASSED
[2025-08-27T21:59:32.875Z] -----------------------------------
[2025-08-27T21:59:32.875Z]
[2025-08-27T21:59:32.875Z] TEST TEARDOWN:
[2025-08-27T21:59:32.875Z] Nothing to be done for teardown.
[2025-08-27T21:59:32.875Z] renaissance-movie-lens_0 Finish Time: Wed Aug 27 22:59:32 2025 Epoch Time (ms): 1756331972790