renaissance-movie-lens_0
[2025-09-04T07:36:51.187Z] Running test renaissance-movie-lens_0 ...
[2025-09-04T07:36:51.187Z] ===============================================
[2025-09-04T07:36:51.187Z] renaissance-movie-lens_0 Start Time: Thu Sep 4 07:36:50 2025 Epoch Time (ms): 1756971410479
[2025-09-04T07:36:51.187Z] variation: NoOptions
[2025-09-04T07:36:51.187Z] JVM_OPTIONS:
[2025-09-04T07:36:51.187Z] { \
[2025-09-04T07:36:51.187Z] echo ""; echo "TEST SETUP:"; \
[2025-09-04T07:36:51.187Z] echo "Nothing to be done for setup."; \
[2025-09-04T07:36:51.187Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/../TKG/output_17569705985719/renaissance-movie-lens_0"; \
[2025-09-04T07:36:51.187Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/../TKG/output_17569705985719/renaissance-movie-lens_0"; \
[2025-09-04T07:36:51.187Z] echo ""; echo "TESTING:"; \
[2025-09-04T07:36:51.187Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/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_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/../TKG/output_17569705985719/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-09-04T07:36:51.187Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/../TKG/output_17569705985719/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-09-04T07:36:51.187Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-09-04T07:36:51.187Z] echo "Nothing to be done for teardown."; \
[2025-09-04T07:36:51.187Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/../TKG/output_17569705985719/TestTargetResult";
[2025-09-04T07:36:51.187Z]
[2025-09-04T07:36:51.187Z] TEST SETUP:
[2025-09-04T07:36:51.187Z] Nothing to be done for setup.
[2025-09-04T07:36:51.187Z]
[2025-09-04T07:36:51.187Z] TESTING:
[2025-09-04T07:36:58.082Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-09-04T07:37:08.012Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-09-04T07:37:08.787Z] Training: 60056, validation: 20285, test: 19854
[2025-09-04T07:37:08.787Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-09-04T07:37:08.787Z] GC before operation: completed in 114.101 ms, heap usage 428.166 MB -> 76.071 MB.
[2025-09-04T07:37:13.269Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-04T07:37:16.712Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-04T07:37:20.163Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-04T07:37:23.612Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-04T07:37:25.229Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-04T07:37:26.847Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-04T07:37:28.448Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-04T07:37:30.074Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-04T07:37:30.848Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-09-04T07:37:30.848Z] The best model improves the baseline by 14.43%.
[2025-09-04T07:37:30.848Z] Top recommended movies for user id 72:
[2025-09-04T07:37:30.848Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-04T07:37:30.848Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-04T07:37:30.848Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-04T07:37:30.848Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-04T07:37:30.848Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-04T07:37:30.848Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22109.743 ms) ======
[2025-09-04T07:37:30.848Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-09-04T07:37:30.848Z] GC before operation: completed in 161.529 ms, heap usage 1.242 GB -> 94.014 MB.
[2025-09-04T07:37:34.405Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-04T07:37:36.890Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-04T07:37:40.345Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-04T07:37:43.803Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-04T07:37:45.401Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-04T07:37:47.016Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-04T07:37:48.619Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-04T07:37:50.216Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-04T07:37:50.992Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-09-04T07:37:50.992Z] The best model improves the baseline by 14.43%.
[2025-09-04T07:37:50.992Z] Top recommended movies for user id 72:
[2025-09-04T07:37:50.992Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-04T07:37:50.992Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-04T07:37:50.992Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-04T07:37:50.992Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-04T07:37:50.992Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-04T07:37:50.992Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19831.896 ms) ======
[2025-09-04T07:37:50.992Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-09-04T07:37:50.992Z] GC before operation: completed in 170.259 ms, heap usage 1.143 GB -> 97.222 MB.
[2025-09-04T07:37:54.428Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-04T07:37:56.915Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-04T07:38:00.358Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-04T07:38:02.845Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-04T07:38:05.341Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-04T07:38:06.940Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-04T07:38:08.540Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-04T07:38:10.149Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-04T07:38:10.149Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-09-04T07:38:10.149Z] The best model improves the baseline by 14.43%.
[2025-09-04T07:38:10.933Z] Top recommended movies for user id 72:
[2025-09-04T07:38:10.933Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-04T07:38:10.933Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-04T07:38:10.933Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-04T07:38:10.933Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-04T07:38:10.933Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-04T07:38:10.933Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19535.559 ms) ======
[2025-09-04T07:38:10.933Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-09-04T07:38:10.933Z] GC before operation: completed in 144.769 ms, heap usage 1.094 GB -> 97.799 MB.
[2025-09-04T07:38:13.418Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-04T07:38:16.863Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-04T07:38:19.353Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-04T07:38:22.978Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-04T07:38:24.576Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-04T07:38:26.207Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-04T07:38:27.817Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-04T07:38:29.433Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-04T07:38:29.434Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-09-04T07:38:29.434Z] The best model improves the baseline by 14.43%.
[2025-09-04T07:38:29.434Z] Top recommended movies for user id 72:
[2025-09-04T07:38:29.434Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-04T07:38:29.434Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-04T07:38:29.434Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-04T07:38:29.434Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-04T07:38:29.434Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-04T07:38:29.434Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18861.914 ms) ======
[2025-09-04T07:38:29.434Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-09-04T07:38:30.212Z] GC before operation: completed in 169.114 ms, heap usage 1.526 GB -> 100.172 MB.
[2025-09-04T07:38:32.695Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-04T07:38:35.183Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-04T07:38:38.621Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-04T07:38:41.111Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-04T07:38:42.720Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-04T07:38:44.325Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-04T07:38:45.922Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-04T07:38:47.536Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-04T07:38:48.309Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-09-04T07:38:48.309Z] The best model improves the baseline by 14.43%.
[2025-09-04T07:38:48.309Z] Top recommended movies for user id 72:
[2025-09-04T07:38:48.309Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-04T07:38:48.309Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-04T07:38:48.309Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-04T07:38:48.309Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-04T07:38:48.309Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-04T07:38:48.309Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18483.206 ms) ======
[2025-09-04T07:38:48.309Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-09-04T07:38:48.309Z] GC before operation: completed in 182.591 ms, heap usage 2.923 GB -> 97.415 MB.
[2025-09-04T07:38:51.764Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-04T07:38:54.274Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-04T07:38:56.764Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-04T07:39:00.229Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-04T07:39:01.840Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-04T07:39:03.484Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-04T07:39:05.106Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-04T07:39:06.752Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-04T07:39:06.752Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-09-04T07:39:06.752Z] The best model improves the baseline by 14.43%.
[2025-09-04T07:39:06.752Z] Top recommended movies for user id 72:
[2025-09-04T07:39:06.752Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-04T07:39:06.752Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-04T07:39:06.752Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-04T07:39:06.752Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-04T07:39:06.752Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-04T07:39:06.752Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18531.293 ms) ======
[2025-09-04T07:39:06.752Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-09-04T07:39:07.525Z] GC before operation: completed in 167.289 ms, heap usage 195.244 MB -> 91.399 MB.
[2025-09-04T07:39:10.010Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-04T07:39:13.458Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-04T07:39:16.904Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-04T07:39:19.394Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-04T07:39:21.002Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-04T07:39:22.601Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-04T07:39:24.206Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-04T07:39:25.813Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-04T07:39:26.586Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-09-04T07:39:26.586Z] The best model improves the baseline by 14.43%.
[2025-09-04T07:39:26.586Z] Top recommended movies for user id 72:
[2025-09-04T07:39:26.586Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-04T07:39:26.586Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-04T07:39:26.586Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-04T07:39:26.586Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-04T07:39:26.586Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-04T07:39:26.586Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19262.958 ms) ======
[2025-09-04T07:39:26.586Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-09-04T07:39:26.586Z] GC before operation: completed in 179.592 ms, heap usage 1.441 GB -> 96.804 MB.
[2025-09-04T07:39:30.036Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-04T07:39:32.528Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-04T07:39:35.973Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-04T07:39:38.452Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-04T07:39:40.053Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-04T07:39:41.650Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-04T07:39:44.132Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-04T07:39:45.730Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-04T07:39:45.730Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-09-04T07:39:45.730Z] The best model improves the baseline by 14.43%.
[2025-09-04T07:39:45.730Z] Top recommended movies for user id 72:
[2025-09-04T07:39:45.730Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-04T07:39:45.730Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-04T07:39:45.730Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-04T07:39:45.730Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-04T07:39:45.730Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-04T07:39:45.730Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19264.462 ms) ======
[2025-09-04T07:39:45.730Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-09-04T07:39:45.730Z] GC before operation: completed in 150.397 ms, heap usage 428.438 MB -> 91.917 MB.
[2025-09-04T07:39:49.179Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-04T07:39:51.692Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-04T07:39:55.130Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-04T07:39:57.613Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-04T07:39:59.221Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-04T07:40:00.834Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-04T07:40:02.450Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-04T07:40:04.046Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-04T07:40:04.820Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-09-04T07:40:04.821Z] The best model improves the baseline by 14.43%.
[2025-09-04T07:40:04.821Z] Top recommended movies for user id 72:
[2025-09-04T07:40:04.821Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-04T07:40:04.821Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-04T07:40:04.821Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-04T07:40:04.821Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-04T07:40:04.821Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-04T07:40:04.821Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18761.129 ms) ======
[2025-09-04T07:40:04.821Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-09-04T07:40:04.821Z] GC before operation: completed in 171.739 ms, heap usage 1.307 GB -> 97.872 MB.
[2025-09-04T07:40:08.266Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-04T07:40:10.752Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-04T07:40:14.207Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-04T07:40:16.714Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-04T07:40:18.324Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-04T07:40:19.930Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-04T07:40:21.542Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-04T07:40:23.151Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-04T07:40:23.151Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-09-04T07:40:23.151Z] The best model improves the baseline by 14.43%.
[2025-09-04T07:40:23.151Z] Top recommended movies for user id 72:
[2025-09-04T07:40:23.151Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-04T07:40:23.151Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-04T07:40:23.151Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-04T07:40:23.151Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-04T07:40:23.151Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-04T07:40:23.151Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18430.761 ms) ======
[2025-09-04T07:40:23.151Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-09-04T07:40:23.926Z] GC before operation: completed in 169.994 ms, heap usage 246.530 MB -> 95.280 MB.
[2025-09-04T07:40:26.418Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-04T07:40:28.907Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-04T07:40:32.353Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-04T07:40:34.838Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-04T07:40:37.323Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-04T07:40:38.710Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-04T07:40:40.665Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-04T07:40:41.645Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-04T07:40:42.433Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-09-04T07:40:42.433Z] The best model improves the baseline by 14.43%.
[2025-09-04T07:40:42.433Z] Top recommended movies for user id 72:
[2025-09-04T07:40:42.433Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-04T07:40:42.433Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-04T07:40:42.433Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-04T07:40:42.433Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-04T07:40:42.433Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-04T07:40:42.433Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18773.079 ms) ======
[2025-09-04T07:40:42.433Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-09-04T07:40:42.433Z] GC before operation: completed in 157.955 ms, heap usage 1.725 GB -> 102.961 MB.
[2025-09-04T07:40:44.976Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-04T07:40:48.432Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-04T07:40:50.926Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-04T07:40:54.371Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-04T07:40:55.971Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-04T07:40:57.569Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-04T07:40:59.169Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-04T07:41:00.778Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-04T07:41:01.552Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-09-04T07:41:01.552Z] The best model improves the baseline by 14.43%.
[2025-09-04T07:41:01.552Z] Top recommended movies for user id 72:
[2025-09-04T07:41:01.552Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-04T07:41:01.552Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-04T07:41:01.552Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-04T07:41:01.552Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-04T07:41:01.552Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-04T07:41:01.552Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18995.613 ms) ======
[2025-09-04T07:41:01.552Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-09-04T07:41:01.552Z] GC before operation: completed in 156.124 ms, heap usage 2.697 GB -> 99.306 MB.
[2025-09-04T07:41:04.040Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-04T07:41:07.492Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-04T07:41:09.990Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-04T07:41:13.434Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-04T07:41:15.035Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-04T07:41:16.639Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-04T07:41:18.258Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-04T07:41:19.871Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-04T07:41:19.871Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-09-04T07:41:19.871Z] The best model improves the baseline by 14.43%.
[2025-09-04T07:41:19.871Z] Top recommended movies for user id 72:
[2025-09-04T07:41:19.871Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-04T07:41:19.871Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-04T07:41:19.871Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-04T07:41:19.871Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-04T07:41:19.871Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-04T07:41:19.871Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18415.462 ms) ======
[2025-09-04T07:41:19.871Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-09-04T07:41:20.647Z] GC before operation: completed in 178.270 ms, heap usage 1.058 GB -> 98.660 MB.
[2025-09-04T07:41:23.130Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-04T07:41:26.579Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-04T07:41:29.065Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-04T07:41:32.514Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-04T07:41:34.115Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-04T07:41:35.717Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-04T07:41:37.323Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-04T07:41:39.805Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-04T07:41:39.805Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-09-04T07:41:39.805Z] The best model improves the baseline by 14.43%.
[2025-09-04T07:41:39.805Z] Top recommended movies for user id 72:
[2025-09-04T07:41:39.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-04T07:41:39.805Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-04T07:41:39.805Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-04T07:41:39.805Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-04T07:41:39.805Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-04T07:41:39.805Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19572.175 ms) ======
[2025-09-04T07:41:39.805Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-09-04T07:41:39.805Z] GC before operation: completed in 177.674 ms, heap usage 2.559 GB -> 100.551 MB.
[2025-09-04T07:41:43.266Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-04T07:41:45.748Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-04T07:41:49.189Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-04T07:41:51.679Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-04T07:41:53.282Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-04T07:41:54.882Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-04T07:41:56.486Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-04T07:41:58.970Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-04T07:41:58.970Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-09-04T07:41:58.970Z] The best model improves the baseline by 14.43%.
[2025-09-04T07:41:58.970Z] Top recommended movies for user id 72:
[2025-09-04T07:41:58.970Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-04T07:41:58.970Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-04T07:41:58.970Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-04T07:41:58.970Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-04T07:41:58.970Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-04T07:41:58.970Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18972.970 ms) ======
[2025-09-04T07:41:58.970Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-09-04T07:41:58.970Z] GC before operation: completed in 156.881 ms, heap usage 261.988 MB -> 95.394 MB.
[2025-09-04T07:42:02.429Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-04T07:42:04.915Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-04T07:42:07.412Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-04T07:42:10.890Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-04T07:42:11.675Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-04T07:42:13.295Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-04T07:42:14.907Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-04T07:42:17.399Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-04T07:42:17.399Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-09-04T07:42:17.399Z] The best model improves the baseline by 14.43%.
[2025-09-04T07:42:17.399Z] Top recommended movies for user id 72:
[2025-09-04T07:42:17.399Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-04T07:42:17.399Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-04T07:42:17.399Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-04T07:42:17.399Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-04T07:42:17.399Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-04T07:42:17.399Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18224.919 ms) ======
[2025-09-04T07:42:17.399Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-09-04T07:42:17.399Z] GC before operation: completed in 153.752 ms, heap usage 1.012 GB -> 96.142 MB.
[2025-09-04T07:42:20.873Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-04T07:42:23.357Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-04T07:42:26.808Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-04T07:42:29.306Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-04T07:42:30.921Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-04T07:42:32.519Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-04T07:42:34.115Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-04T07:42:35.722Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-04T07:42:36.497Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-09-04T07:42:36.497Z] The best model improves the baseline by 14.43%.
[2025-09-04T07:42:36.497Z] Top recommended movies for user id 72:
[2025-09-04T07:42:36.497Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-04T07:42:36.497Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-04T07:42:36.497Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-04T07:42:36.497Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-04T07:42:36.497Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-04T07:42:36.497Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19056.499 ms) ======
[2025-09-04T07:42:36.497Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-09-04T07:42:36.497Z] GC before operation: completed in 170.685 ms, heap usage 1.142 GB -> 96.578 MB.
[2025-09-04T07:42:39.970Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-04T07:42:42.455Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-04T07:42:45.908Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-04T07:42:48.393Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-04T07:42:49.996Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-04T07:42:51.592Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-04T07:42:53.193Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-04T07:42:54.802Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-04T07:42:55.575Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-09-04T07:42:55.575Z] The best model improves the baseline by 14.43%.
[2025-09-04T07:42:55.575Z] Top recommended movies for user id 72:
[2025-09-04T07:42:55.575Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-04T07:42:55.575Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-04T07:42:55.575Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-04T07:42:55.575Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-04T07:42:55.575Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-04T07:42:55.575Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18731.416 ms) ======
[2025-09-04T07:42:55.575Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-09-04T07:42:55.575Z] GC before operation: completed in 157.355 ms, heap usage 1.013 GB -> 98.489 MB.
[2025-09-04T07:42:58.065Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-04T07:43:01.517Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-04T07:43:04.983Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-04T07:43:07.474Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-04T07:43:09.070Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-04T07:43:10.669Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-04T07:43:12.273Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-04T07:43:13.870Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-04T07:43:13.870Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-09-04T07:43:13.870Z] The best model improves the baseline by 14.43%.
[2025-09-04T07:43:14.643Z] Top recommended movies for user id 72:
[2025-09-04T07:43:14.643Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-04T07:43:14.643Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-04T07:43:14.643Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-04T07:43:14.643Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-04T07:43:14.643Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-04T07:43:14.643Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18684.153 ms) ======
[2025-09-04T07:43:14.643Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-09-04T07:43:14.643Z] GC before operation: completed in 171.925 ms, heap usage 333.675 MB -> 91.983 MB.
[2025-09-04T07:43:17.123Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-04T07:43:20.586Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-04T07:43:23.239Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-04T07:43:25.728Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-04T07:43:28.218Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-04T07:43:29.814Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-04T07:43:31.457Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-04T07:43:33.061Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-04T07:43:33.061Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-09-04T07:43:33.061Z] The best model improves the baseline by 14.43%.
[2025-09-04T07:43:33.835Z] Top recommended movies for user id 72:
[2025-09-04T07:43:33.835Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-04T07:43:33.835Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-04T07:43:33.835Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-04T07:43:33.835Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-04T07:43:33.835Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-04T07:43:33.835Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19086.909 ms) ======
[2025-09-04T07:43:33.835Z] -----------------------------------
[2025-09-04T07:43:33.835Z] renaissance-movie-lens_0_PASSED
[2025-09-04T07:43:33.835Z] -----------------------------------
[2025-09-04T07:43:33.835Z]
[2025-09-04T07:43:33.835Z] TEST TEARDOWN:
[2025-09-04T07:43:33.835Z] Nothing to be done for teardown.
[2025-09-04T07:43:34.681Z] renaissance-movie-lens_0 Finish Time: Thu Sep 4 07:43:33 2025 Epoch Time (ms): 1756971813757