renaissance-movie-lens_0
[2025-07-02T14:23:16.360Z] Running test renaissance-movie-lens_0 ...
[2025-07-02T14:23:16.360Z] ===============================================
[2025-07-02T14:23:16.360Z] renaissance-movie-lens_0 Start Time: Wed Jul 2 14:23:15 2025 Epoch Time (ms): 1751466195371
[2025-07-02T14:23:16.360Z] variation: NoOptions
[2025-07-02T14:23:16.360Z] JVM_OPTIONS:
[2025-07-02T14:23:16.360Z] { \
[2025-07-02T14:23:16.360Z] echo ""; echo "TEST SETUP:"; \
[2025-07-02T14:23:16.360Z] echo "Nothing to be done for setup."; \
[2025-07-02T14:23:16.360Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/../TKG/output_17514649883512/renaissance-movie-lens_0"; \
[2025-07-02T14:23:16.360Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/../TKG/output_17514649883512/renaissance-movie-lens_0"; \
[2025-07-02T14:23:16.360Z] echo ""; echo "TESTING:"; \
[2025-07-02T14:23:16.361Z] "/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_17514649883512/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-07-02T14:23:16.361Z] 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_17514649883512/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-07-02T14:23:16.361Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-07-02T14:23:16.361Z] echo "Nothing to be done for teardown."; \
[2025-07-02T14:23:16.361Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/../TKG/output_17514649883512/TestTargetResult";
[2025-07-02T14:23:16.361Z]
[2025-07-02T14:23:16.361Z] TEST SETUP:
[2025-07-02T14:23:16.361Z] Nothing to be done for setup.
[2025-07-02T14:23:16.361Z]
[2025-07-02T14:23:16.361Z] TESTING:
[2025-07-02T14:23:42.554Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads.
[2025-07-02T14:23:52.476Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-07-02T14:23:52.476Z] Training: 60056, validation: 20285, test: 19854
[2025-07-02T14:23:52.476Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-07-02T14:23:52.476Z] GC before operation: completed in 123.488 ms, heap usage 427.796 MB -> 75.365 MB.
[2025-07-02T14:23:58.117Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-02T14:24:02.600Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-02T14:24:07.118Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-02T14:24:09.619Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-02T14:24:12.112Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-02T14:24:13.707Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-02T14:24:16.187Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-02T14:24:17.825Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-02T14:24:18.609Z] 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.
[2025-07-02T14:24:18.609Z] The best model improves the baseline by 14.43%.
[2025-07-02T14:24:18.609Z] Top recommended movies for user id 72:
[2025-07-02T14:24:18.609Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-02T14:24:18.609Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-02T14:24:18.609Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-02T14:24:18.609Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-02T14:24:18.609Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-02T14:24:18.609Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26159.961 ms) ======
[2025-07-02T14:24:18.609Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-07-02T14:24:18.609Z] GC before operation: completed in 167.757 ms, heap usage 2.269 GB -> 100.390 MB.
[2025-07-02T14:24:22.047Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-02T14:24:25.495Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-02T14:24:28.960Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-02T14:24:31.475Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-02T14:24:34.005Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-02T14:24:35.616Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-02T14:24:38.103Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-02T14:24:40.589Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-02T14:24:40.589Z] 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.
[2025-07-02T14:24:40.589Z] The best model improves the baseline by 14.43%.
[2025-07-02T14:24:40.589Z] Top recommended movies for user id 72:
[2025-07-02T14:24:40.590Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-02T14:24:40.590Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-02T14:24:40.590Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-02T14:24:40.590Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-02T14:24:40.590Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-02T14:24:40.590Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21976.032 ms) ======
[2025-07-02T14:24:40.590Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-07-02T14:24:41.365Z] GC before operation: completed in 160.698 ms, heap usage 2.393 GB -> 96.872 MB.
[2025-07-02T14:24:43.852Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-02T14:24:47.377Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-02T14:24:50.991Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-02T14:24:54.471Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-02T14:24:56.128Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-02T14:24:57.747Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-02T14:25:00.360Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-02T14:25:01.990Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-02T14:25:01.990Z] 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.
[2025-07-02T14:25:01.990Z] The best model improves the baseline by 14.43%.
[2025-07-02T14:25:01.990Z] Top recommended movies for user id 72:
[2025-07-02T14:25:01.990Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-02T14:25:01.990Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-02T14:25:01.990Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-02T14:25:01.990Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-02T14:25:01.990Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-02T14:25:01.990Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21134.743 ms) ======
[2025-07-02T14:25:01.990Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-07-02T14:25:01.990Z] GC before operation: completed in 169.489 ms, heap usage 2.328 GB -> 101.462 MB.
[2025-07-02T14:25:05.478Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-02T14:25:08.928Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-02T14:25:12.378Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-02T14:25:15.813Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-02T14:25:17.409Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-02T14:25:19.017Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-02T14:25:21.512Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-02T14:25:23.111Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-02T14:25:23.111Z] 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.
[2025-07-02T14:25:23.111Z] The best model improves the baseline by 14.43%.
[2025-07-02T14:25:23.888Z] Top recommended movies for user id 72:
[2025-07-02T14:25:23.888Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-02T14:25:23.888Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-02T14:25:23.888Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-02T14:25:23.888Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-02T14:25:23.888Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-02T14:25:23.888Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21236.188 ms) ======
[2025-07-02T14:25:23.888Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-07-02T14:25:23.888Z] GC before operation: completed in 156.884 ms, heap usage 1.720 GB -> 96.224 MB.
[2025-07-02T14:25:27.328Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-02T14:25:29.807Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-02T14:25:34.278Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-02T14:25:36.760Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-02T14:25:39.243Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-02T14:25:40.881Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-02T14:25:43.358Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-02T14:25:45.836Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-02T14:25:45.836Z] 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.
[2025-07-02T14:25:45.836Z] The best model improves the baseline by 14.43%.
[2025-07-02T14:25:45.836Z] Top recommended movies for user id 72:
[2025-07-02T14:25:45.836Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-02T14:25:45.836Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-02T14:25:45.836Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-02T14:25:45.836Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-02T14:25:45.836Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-02T14:25:45.836Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22194.244 ms) ======
[2025-07-02T14:25:45.836Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-07-02T14:25:45.836Z] GC before operation: completed in 155.914 ms, heap usage 889.424 MB -> 94.370 MB.
[2025-07-02T14:25:49.288Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-02T14:25:52.897Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-02T14:25:57.397Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-02T14:26:00.845Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-02T14:26:02.440Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-02T14:26:04.053Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-02T14:26:06.542Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-02T14:26:08.151Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-02T14:26:08.922Z] 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.
[2025-07-02T14:26:08.922Z] The best model improves the baseline by 14.43%.
[2025-07-02T14:26:08.922Z] Top recommended movies for user id 72:
[2025-07-02T14:26:08.922Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-02T14:26:08.922Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-02T14:26:08.922Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-02T14:26:08.922Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-02T14:26:08.922Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-02T14:26:08.922Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22846.478 ms) ======
[2025-07-02T14:26:08.922Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-07-02T14:26:08.922Z] GC before operation: completed in 148.111 ms, heap usage 321.895 MB -> 90.811 MB.
[2025-07-02T14:26:12.378Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-02T14:26:14.852Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-02T14:26:19.349Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-02T14:26:22.812Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-02T14:26:23.583Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-02T14:26:25.181Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-02T14:26:27.659Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-02T14:26:29.285Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-02T14:26:29.285Z] 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.
[2025-07-02T14:26:29.285Z] The best model improves the baseline by 14.43%.
[2025-07-02T14:26:30.056Z] Top recommended movies for user id 72:
[2025-07-02T14:26:30.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-02T14:26:30.056Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-02T14:26:30.056Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-02T14:26:30.056Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-02T14:26:30.056Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-02T14:26:30.056Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20670.609 ms) ======
[2025-07-02T14:26:30.056Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-07-02T14:26:30.056Z] GC before operation: completed in 165.940 ms, heap usage 2.222 GB -> 97.003 MB.
[2025-07-02T14:26:33.485Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-02T14:26:36.912Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-02T14:26:41.407Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-02T14:26:43.890Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-02T14:26:46.378Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-02T14:26:47.974Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-02T14:26:51.571Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-02T14:26:53.178Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-02T14:26:53.950Z] 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.
[2025-07-02T14:26:53.950Z] The best model improves the baseline by 14.43%.
[2025-07-02T14:26:53.950Z] Top recommended movies for user id 72:
[2025-07-02T14:26:53.950Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-02T14:26:53.950Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-02T14:26:53.950Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-02T14:26:53.950Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-02T14:26:53.950Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-02T14:26:53.950Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23947.751 ms) ======
[2025-07-02T14:26:53.950Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-07-02T14:26:53.950Z] GC before operation: completed in 175.199 ms, heap usage 2.373 GB -> 100.280 MB.
[2025-07-02T14:26:57.382Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-02T14:27:01.004Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-02T14:27:04.432Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-02T14:27:07.870Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-02T14:27:09.468Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-02T14:27:11.064Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-02T14:27:13.543Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-02T14:27:15.153Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-02T14:27:15.153Z] 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.
[2025-07-02T14:27:15.153Z] The best model improves the baseline by 14.43%.
[2025-07-02T14:27:15.153Z] Top recommended movies for user id 72:
[2025-07-02T14:27:15.153Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-02T14:27:15.153Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-02T14:27:15.153Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-02T14:27:15.153Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-02T14:27:15.153Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-02T14:27:15.153Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21233.912 ms) ======
[2025-07-02T14:27:15.153Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-07-02T14:27:15.154Z] GC before operation: completed in 165.582 ms, heap usage 270.182 MB -> 94.331 MB.
[2025-07-02T14:27:18.793Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-02T14:27:22.243Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-02T14:27:26.737Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-02T14:27:30.194Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-02T14:27:31.797Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-02T14:27:33.418Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-02T14:27:35.909Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-02T14:27:37.524Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-02T14:27:38.297Z] 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.
[2025-07-02T14:27:38.297Z] The best model improves the baseline by 14.43%.
[2025-07-02T14:27:38.297Z] Top recommended movies for user id 72:
[2025-07-02T14:27:38.297Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-02T14:27:38.297Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-02T14:27:38.297Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-02T14:27:38.297Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-02T14:27:38.297Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-02T14:27:38.297Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (22898.865 ms) ======
[2025-07-02T14:27:38.297Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-07-02T14:27:38.297Z] GC before operation: completed in 157.451 ms, heap usage 425.594 MB -> 91.505 MB.
[2025-07-02T14:27:41.789Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-02T14:27:45.225Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-02T14:27:49.721Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-02T14:27:53.176Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-02T14:27:55.694Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-02T14:27:57.290Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-02T14:27:59.791Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-02T14:28:01.412Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-02T14:28:01.412Z] 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.
[2025-07-02T14:28:01.412Z] The best model improves the baseline by 14.43%.
[2025-07-02T14:28:01.412Z] Top recommended movies for user id 72:
[2025-07-02T14:28:01.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-02T14:28:01.412Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-02T14:28:01.412Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-02T14:28:01.412Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-02T14:28:01.412Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-02T14:28:01.412Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (23071.200 ms) ======
[2025-07-02T14:28:01.412Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-07-02T14:28:01.412Z] GC before operation: completed in 166.983 ms, heap usage 2.488 GB -> 101.092 MB.
[2025-07-02T14:28:05.043Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-02T14:28:07.531Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-02T14:28:12.193Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-02T14:28:14.690Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-02T14:28:16.292Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-02T14:28:17.897Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-02T14:28:20.379Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-02T14:28:21.987Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-02T14:28:22.763Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-02T14:28:22.763Z] The best model improves the baseline by 14.43%.
[2025-07-02T14:28:22.763Z] Top recommended movies for user id 72:
[2025-07-02T14:28:22.763Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-02T14:28:22.763Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-02T14:28:22.763Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-02T14:28:22.763Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-02T14:28:22.763Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-02T14:28:22.763Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21058.108 ms) ======
[2025-07-02T14:28:22.763Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-07-02T14:28:22.763Z] GC before operation: completed in 151.219 ms, heap usage 322.133 MB -> 93.680 MB.
[2025-07-02T14:28:26.208Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-02T14:28:28.693Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-02T14:28:33.182Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-02T14:28:35.681Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-02T14:28:37.280Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-02T14:28:39.762Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-02T14:28:41.357Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-02T14:28:42.987Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-02T14:28:42.987Z] 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.
[2025-07-02T14:28:42.987Z] The best model improves the baseline by 14.43%.
[2025-07-02T14:28:43.761Z] Top recommended movies for user id 72:
[2025-07-02T14:28:43.761Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-02T14:28:43.761Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-02T14:28:43.761Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-02T14:28:43.761Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-02T14:28:43.761Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-02T14:28:43.761Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20566.579 ms) ======
[2025-07-02T14:28:43.761Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-07-02T14:28:43.761Z] GC before operation: completed in 158.935 ms, heap usage 2.681 GB -> 97.577 MB.
[2025-07-02T14:28:47.202Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-02T14:28:50.639Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-02T14:28:55.163Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-02T14:28:57.653Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-02T14:29:00.174Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-02T14:29:01.770Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-02T14:29:04.246Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-02T14:29:05.848Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-02T14:29:05.848Z] 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.
[2025-07-02T14:29:05.848Z] The best model improves the baseline by 14.43%.
[2025-07-02T14:29:06.634Z] Top recommended movies for user id 72:
[2025-07-02T14:29:06.634Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-02T14:29:06.634Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-02T14:29:06.634Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-02T14:29:06.634Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-02T14:29:06.634Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-02T14:29:06.634Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (22695.467 ms) ======
[2025-07-02T14:29:06.634Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-07-02T14:29:06.634Z] GC before operation: completed in 154.965 ms, heap usage 2.365 GB -> 101.712 MB.
[2025-07-02T14:29:10.260Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-02T14:29:12.752Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-02T14:29:17.248Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-02T14:29:19.730Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-02T14:29:22.224Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-02T14:29:23.832Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-02T14:29:26.310Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-02T14:29:27.913Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-02T14:29:28.687Z] 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.
[2025-07-02T14:29:28.687Z] The best model improves the baseline by 14.43%.
[2025-07-02T14:29:28.687Z] Top recommended movies for user id 72:
[2025-07-02T14:29:28.687Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-02T14:29:28.687Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-02T14:29:28.687Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-02T14:29:28.687Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-02T14:29:28.687Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-02T14:29:28.687Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (22072.673 ms) ======
[2025-07-02T14:29:28.687Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-07-02T14:29:28.687Z] GC before operation: completed in 146.618 ms, heap usage 151.129 MB -> 92.504 MB.
[2025-07-02T14:29:32.212Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-02T14:29:35.707Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-02T14:29:40.184Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-02T14:29:42.664Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-02T14:29:44.283Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-02T14:29:45.888Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-02T14:29:48.368Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-02T14:29:50.861Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-02T14:29:50.861Z] 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.
[2025-07-02T14:29:50.861Z] The best model improves the baseline by 14.43%.
[2025-07-02T14:29:50.861Z] Top recommended movies for user id 72:
[2025-07-02T14:29:50.861Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-02T14:29:50.861Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-02T14:29:50.861Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-02T14:29:50.862Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-02T14:29:50.862Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-02T14:29:50.862Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (22318.872 ms) ======
[2025-07-02T14:29:50.862Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-07-02T14:29:51.633Z] GC before operation: completed in 173.653 ms, heap usage 2.494 GB -> 101.380 MB.
[2025-07-02T14:29:54.113Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-02T14:29:57.573Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-02T14:30:03.270Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-02T14:30:06.717Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-02T14:30:08.316Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-02T14:30:09.921Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-02T14:30:12.415Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-02T14:30:14.020Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-02T14:30:14.020Z] 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.
[2025-07-02T14:30:14.020Z] The best model improves the baseline by 14.43%.
[2025-07-02T14:30:14.820Z] Top recommended movies for user id 72:
[2025-07-02T14:30:14.820Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-02T14:30:14.820Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-02T14:30:14.820Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-02T14:30:14.821Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-02T14:30:14.821Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-02T14:30:14.821Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23249.323 ms) ======
[2025-07-02T14:30:14.821Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-07-02T14:30:14.821Z] GC before operation: completed in 155.037 ms, heap usage 1005.253 MB -> 95.579 MB.
[2025-07-02T14:30:18.270Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-02T14:30:21.707Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-02T14:30:25.144Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-02T14:30:28.583Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-02T14:30:30.226Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-02T14:30:32.700Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-02T14:30:34.294Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-02T14:30:36.777Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-02T14:30:36.777Z] 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.
[2025-07-02T14:30:36.777Z] The best model improves the baseline by 14.43%.
[2025-07-02T14:30:36.777Z] Top recommended movies for user id 72:
[2025-07-02T14:30:36.777Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-02T14:30:36.777Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-02T14:30:36.777Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-02T14:30:36.777Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-02T14:30:36.777Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-02T14:30:36.777Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (22273.466 ms) ======
[2025-07-02T14:30:36.777Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-07-02T14:30:36.777Z] GC before operation: completed in 166.966 ms, heap usage 2.584 GB -> 100.245 MB.
[2025-07-02T14:30:40.213Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-02T14:30:43.646Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-02T14:30:47.093Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-02T14:30:49.581Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-02T14:30:51.182Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-02T14:30:52.775Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-02T14:30:55.265Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-02T14:30:56.875Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-02T14:30:56.875Z] 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.
[2025-07-02T14:30:56.875Z] The best model improves the baseline by 14.43%.
[2025-07-02T14:30:56.875Z] Top recommended movies for user id 72:
[2025-07-02T14:30:56.875Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-02T14:30:56.875Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-02T14:30:56.875Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-02T14:30:56.875Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-02T14:30:56.875Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-02T14:30:56.875Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20155.302 ms) ======
[2025-07-02T14:30:56.875Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-07-02T14:30:57.646Z] GC before operation: completed in 176.748 ms, heap usage 2.678 GB -> 101.165 MB.
[2025-07-02T14:31:00.140Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-02T14:31:03.584Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-02T14:31:08.065Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-02T14:31:11.502Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-02T14:31:13.101Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-02T14:31:14.700Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-02T14:31:17.196Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-02T14:31:18.811Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-02T14:31:18.811Z] 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.
[2025-07-02T14:31:18.811Z] The best model improves the baseline by 14.43%.
[2025-07-02T14:31:18.811Z] Top recommended movies for user id 72:
[2025-07-02T14:31:18.811Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-02T14:31:18.811Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-02T14:31:18.811Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-02T14:31:18.811Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-02T14:31:18.811Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-02T14:31:18.811Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21730.269 ms) ======
[2025-07-02T14:31:19.997Z] -----------------------------------
[2025-07-02T14:31:19.997Z] renaissance-movie-lens_0_PASSED
[2025-07-02T14:31:19.997Z] -----------------------------------
[2025-07-02T14:31:19.997Z]
[2025-07-02T14:31:19.997Z] TEST TEARDOWN:
[2025-07-02T14:31:19.997Z] Nothing to be done for teardown.
[2025-07-02T14:31:19.997Z] renaissance-movie-lens_0 Finish Time: Wed Jul 2 14:31:19 2025 Epoch Time (ms): 1751466679297