renaissance-movie-lens_0
[2025-06-28T00:35:32.106Z] Running test renaissance-movie-lens_0 ...
[2025-06-28T00:35:32.106Z] ===============================================
[2025-06-28T00:35:32.106Z] renaissance-movie-lens_0 Start Time: Sat Jun 28 00:35:31 2025 Epoch Time (ms): 1751070931171
[2025-06-28T00:35:32.106Z] variation: NoOptions
[2025-06-28T00:35:32.106Z] JVM_OPTIONS:
[2025-06-28T00:35:32.106Z] { \
[2025-06-28T00:35:32.106Z] echo ""; echo "TEST SETUP:"; \
[2025-06-28T00:35:32.106Z] echo "Nothing to be done for setup."; \
[2025-06-28T00:35:32.106Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17510692772406/renaissance-movie-lens_0"; \
[2025-06-28T00:35:32.106Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17510692772406/renaissance-movie-lens_0"; \
[2025-06-28T00:35:32.106Z] echo ""; echo "TESTING:"; \
[2025-06-28T00:35:32.106Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17510692772406/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-28T00:35:32.106Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17510692772406/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-28T00:35:32.106Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-28T00:35:32.106Z] echo "Nothing to be done for teardown."; \
[2025-06-28T00:35:32.106Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17510692772406/TestTargetResult";
[2025-06-28T00:35:32.106Z]
[2025-06-28T00:35:32.106Z] TEST SETUP:
[2025-06-28T00:35:32.106Z] Nothing to be done for setup.
[2025-06-28T00:35:32.106Z]
[2025-06-28T00:35:32.106Z] TESTING:
[2025-06-28T00:35:40.154Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-06-28T00:35:55.660Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-28T00:35:55.660Z] Training: 60056, validation: 20285, test: 19854
[2025-06-28T00:35:55.660Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-28T00:35:55.660Z] GC before operation: completed in 144.808 ms, heap usage 312.802 MB -> 76.777 MB.
[2025-06-28T00:36:03.656Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-28T00:36:08.916Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-28T00:36:14.882Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-28T00:36:18.937Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-28T00:36:21.888Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-28T00:36:24.842Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-28T00:36:27.790Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-28T00:36:30.735Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-28T00:36:30.735Z] 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.
[2025-06-28T00:36:30.735Z] The best model improves the baseline by 14.43%.
[2025-06-28T00:36:31.662Z] Top recommended movies for user id 72:
[2025-06-28T00:36:31.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-28T00:36:31.662Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-28T00:36:31.662Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-28T00:36:31.662Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-28T00:36:31.662Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-28T00:36:31.662Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (35850.155 ms) ======
[2025-06-28T00:36:31.662Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-28T00:36:31.662Z] GC before operation: completed in 287.973 ms, heap usage 109.069 MB -> 89.427 MB.
[2025-06-28T00:36:35.716Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-28T00:36:39.929Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-28T00:36:45.181Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-28T00:36:48.126Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-28T00:36:50.036Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-28T00:36:52.982Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-28T00:36:54.887Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-28T00:36:56.794Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-28T00:36:57.724Z] 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.
[2025-06-28T00:36:57.724Z] The best model improves the baseline by 14.43%.
[2025-06-28T00:36:57.724Z] Top recommended movies for user id 72:
[2025-06-28T00:36:57.724Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-28T00:36:57.724Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-28T00:36:57.724Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-28T00:36:57.724Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-28T00:36:57.724Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-28T00:36:57.724Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (26241.588 ms) ======
[2025-06-28T00:36:57.724Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-28T00:36:57.724Z] GC before operation: completed in 212.332 ms, heap usage 745.112 MB -> 94.630 MB.
[2025-06-28T00:37:01.783Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-28T00:37:05.837Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-28T00:37:08.783Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-28T00:37:11.733Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-28T00:37:14.679Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-28T00:37:17.275Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-28T00:37:18.203Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-28T00:37:21.154Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-28T00:37:21.154Z] 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.
[2025-06-28T00:37:21.154Z] The best model improves the baseline by 14.43%.
[2025-06-28T00:37:21.154Z] Top recommended movies for user id 72:
[2025-06-28T00:37:21.154Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-28T00:37:21.154Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-28T00:37:21.154Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-28T00:37:21.154Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-28T00:37:21.154Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-28T00:37:21.154Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23383.605 ms) ======
[2025-06-28T00:37:21.154Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-28T00:37:22.082Z] GC before operation: completed in 223.061 ms, heap usage 733.957 MB -> 95.485 MB.
[2025-06-28T00:37:25.028Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-28T00:37:27.976Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-28T00:37:32.033Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-28T00:37:34.981Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-28T00:37:37.938Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-28T00:37:39.846Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-28T00:37:42.792Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-28T00:37:44.702Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-28T00:37:45.631Z] 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.
[2025-06-28T00:37:45.631Z] The best model improves the baseline by 14.43%.
[2025-06-28T00:37:45.631Z] Top recommended movies for user id 72:
[2025-06-28T00:37:45.631Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-28T00:37:45.631Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-28T00:37:45.631Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-28T00:37:45.631Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-28T00:37:45.631Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-28T00:37:45.631Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23865.000 ms) ======
[2025-06-28T00:37:45.631Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-28T00:37:45.631Z] GC before operation: completed in 172.698 ms, heap usage 182.044 MB -> 91.908 MB.
[2025-06-28T00:37:49.721Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-28T00:37:52.667Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-28T00:37:56.725Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-28T00:37:59.711Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-28T00:38:01.793Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-28T00:38:03.700Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-28T00:38:06.645Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-28T00:38:08.553Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-28T00:38:08.553Z] 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.
[2025-06-28T00:38:08.553Z] The best model improves the baseline by 14.43%.
[2025-06-28T00:38:09.482Z] Top recommended movies for user id 72:
[2025-06-28T00:38:09.482Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-28T00:38:09.482Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-28T00:38:09.482Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-28T00:38:09.482Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-28T00:38:09.482Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-28T00:38:09.482Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (23279.679 ms) ======
[2025-06-28T00:38:09.482Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-28T00:38:09.482Z] GC before operation: completed in 206.717 ms, heap usage 345.534 MB -> 92.063 MB.
[2025-06-28T00:38:12.439Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-28T00:38:16.569Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-28T00:38:22.958Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-28T00:38:24.559Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-28T00:38:25.490Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-28T00:38:28.440Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-28T00:38:30.350Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-28T00:38:32.258Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-28T00:38:33.187Z] 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.
[2025-06-28T00:38:33.187Z] The best model improves the baseline by 14.43%.
[2025-06-28T00:38:33.187Z] Top recommended movies for user id 72:
[2025-06-28T00:38:33.187Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-28T00:38:33.187Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-28T00:38:33.187Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-28T00:38:33.187Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-28T00:38:33.187Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-28T00:38:33.187Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (23837.698 ms) ======
[2025-06-28T00:38:33.187Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-28T00:38:33.187Z] GC before operation: completed in 339.036 ms, heap usage 1.113 GB -> 96.725 MB.
[2025-06-28T00:38:37.246Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-28T00:38:40.218Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-28T00:38:44.283Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-28T00:38:47.263Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-28T00:38:50.218Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-28T00:38:52.140Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-28T00:38:54.072Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-28T00:38:57.018Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-28T00:38:57.018Z] 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.
[2025-06-28T00:38:57.018Z] The best model improves the baseline by 14.43%.
[2025-06-28T00:38:57.947Z] Top recommended movies for user id 72:
[2025-06-28T00:38:57.948Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-28T00:38:57.948Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-28T00:38:57.948Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-28T00:38:57.948Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-28T00:38:57.948Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-28T00:38:57.948Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24052.760 ms) ======
[2025-06-28T00:38:57.948Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-28T00:38:57.948Z] GC before operation: completed in 333.292 ms, heap usage 1.430 GB -> 97.254 MB.
[2025-06-28T00:39:01.006Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-28T00:39:05.059Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-28T00:39:08.041Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-28T00:39:10.994Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-28T00:39:12.901Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-28T00:39:15.846Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-28T00:39:17.751Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-28T00:39:19.699Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-28T00:39:20.641Z] 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.
[2025-06-28T00:39:20.641Z] The best model improves the baseline by 14.43%.
[2025-06-28T00:39:20.641Z] Top recommended movies for user id 72:
[2025-06-28T00:39:20.641Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-28T00:39:20.641Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-28T00:39:20.641Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-28T00:39:20.641Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-28T00:39:20.641Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-28T00:39:20.641Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23135.666 ms) ======
[2025-06-28T00:39:20.641Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-28T00:39:23.904Z] GC before operation: completed in 467.434 ms, heap usage 660.662 MB -> 92.755 MB.
[2025-06-28T00:39:24.832Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-28T00:39:28.892Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-28T00:39:32.522Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-28T00:39:35.508Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-28T00:39:39.908Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-28T00:39:39.908Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-28T00:39:42.844Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-28T00:39:43.773Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-28T00:39:43.773Z] 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.
[2025-06-28T00:39:44.701Z] The best model improves the baseline by 14.43%.
[2025-06-28T00:39:44.701Z] Top recommended movies for user id 72:
[2025-06-28T00:39:44.701Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-28T00:39:44.701Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-28T00:39:44.701Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-28T00:39:44.701Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-28T00:39:44.701Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-28T00:39:44.701Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (23022.404 ms) ======
[2025-06-28T00:39:44.701Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-28T00:39:44.701Z] GC before operation: completed in 161.760 ms, heap usage 385.919 MB -> 92.457 MB.
[2025-06-28T00:39:47.649Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-28T00:39:50.603Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-28T00:39:53.578Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-28T00:39:56.519Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-28T00:39:58.425Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-28T00:40:00.330Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-28T00:40:02.234Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-28T00:40:04.140Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-28T00:40:05.068Z] 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.
[2025-06-28T00:40:05.068Z] The best model improves the baseline by 14.43%.
[2025-06-28T00:40:05.068Z] Top recommended movies for user id 72:
[2025-06-28T00:40:05.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-28T00:40:05.068Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-28T00:40:05.068Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-28T00:40:05.068Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-28T00:40:05.068Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-28T00:40:05.068Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20426.341 ms) ======
[2025-06-28T00:40:05.068Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-28T00:40:05.068Z] GC before operation: completed in 205.928 ms, heap usage 842.241 MB -> 96.437 MB.
[2025-06-28T00:40:08.014Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-28T00:40:10.956Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-28T00:40:15.009Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-28T00:40:17.952Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-28T00:40:19.859Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-28T00:40:21.765Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-28T00:40:23.671Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-28T00:40:25.637Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-28T00:40:25.637Z] 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.
[2025-06-28T00:40:25.637Z] The best model improves the baseline by 14.43%.
[2025-06-28T00:40:26.565Z] Top recommended movies for user id 72:
[2025-06-28T00:40:26.565Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-28T00:40:26.565Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-28T00:40:26.565Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-28T00:40:26.565Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-28T00:40:26.565Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-28T00:40:26.565Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20960.023 ms) ======
[2025-06-28T00:40:26.565Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-28T00:40:26.565Z] GC before operation: completed in 138.291 ms, heap usage 391.170 MB -> 92.423 MB.
[2025-06-28T00:40:29.535Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-28T00:40:32.538Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-28T00:40:36.591Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-28T00:40:38.888Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-28T00:40:40.791Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-28T00:40:43.740Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-28T00:40:44.666Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-28T00:40:46.574Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-28T00:40:47.501Z] 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.
[2025-06-28T00:40:47.501Z] The best model improves the baseline by 14.43%.
[2025-06-28T00:40:47.501Z] Top recommended movies for user id 72:
[2025-06-28T00:40:47.501Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-28T00:40:47.501Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-28T00:40:47.501Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-28T00:40:47.501Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-28T00:40:47.501Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-28T00:40:47.501Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21303.331 ms) ======
[2025-06-28T00:40:47.501Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-28T00:40:47.501Z] GC before operation: completed in 143.896 ms, heap usage 1.550 GB -> 97.717 MB.
[2025-06-28T00:40:50.449Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-28T00:40:54.529Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-28T00:40:57.474Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-28T00:41:00.421Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-28T00:41:02.344Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-28T00:41:04.251Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-28T00:41:06.157Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-28T00:41:08.065Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-28T00:41:08.065Z] 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.
[2025-06-28T00:41:08.065Z] The best model improves the baseline by 14.43%.
[2025-06-28T00:41:08.992Z] Top recommended movies for user id 72:
[2025-06-28T00:41:08.992Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-28T00:41:08.992Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-28T00:41:08.992Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-28T00:41:08.992Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-28T00:41:08.992Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-28T00:41:08.992Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20748.121 ms) ======
[2025-06-28T00:41:08.992Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-28T00:41:08.992Z] GC before operation: completed in 143.026 ms, heap usage 184.466 MB -> 92.543 MB.
[2025-06-28T00:41:11.937Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-28T00:41:14.881Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-28T00:41:17.824Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-28T00:41:20.770Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-28T00:41:22.678Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-28T00:41:24.588Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-28T00:41:26.492Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-28T00:41:28.405Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-28T00:41:29.332Z] 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.
[2025-06-28T00:41:29.332Z] The best model improves the baseline by 14.43%.
[2025-06-28T00:41:29.332Z] Top recommended movies for user id 72:
[2025-06-28T00:41:29.332Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-28T00:41:29.332Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-28T00:41:29.332Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-28T00:41:29.332Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-28T00:41:29.332Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-28T00:41:29.332Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20519.880 ms) ======
[2025-06-28T00:41:29.332Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-28T00:41:29.332Z] GC before operation: completed in 137.332 ms, heap usage 260.251 MB -> 92.449 MB.
[2025-06-28T00:41:32.276Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-28T00:41:35.227Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-28T00:41:38.174Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-28T00:41:41.536Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-28T00:41:43.443Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-28T00:41:45.388Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-28T00:41:47.293Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-28T00:41:49.198Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-28T00:41:49.198Z] 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.
[2025-06-28T00:41:49.198Z] The best model improves the baseline by 14.43%.
[2025-06-28T00:41:50.125Z] Top recommended movies for user id 72:
[2025-06-28T00:41:50.125Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-28T00:41:50.125Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-28T00:41:50.125Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-28T00:41:50.125Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-28T00:41:50.125Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-28T00:41:50.125Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20295.130 ms) ======
[2025-06-28T00:41:50.125Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-28T00:41:50.125Z] GC before operation: completed in 129.759 ms, heap usage 186.540 MB -> 92.705 MB.
[2025-06-28T00:41:53.066Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-28T00:41:56.012Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-28T00:41:57.950Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-28T00:42:00.891Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-28T00:42:02.797Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-28T00:42:04.703Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-28T00:42:06.607Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-28T00:42:08.515Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-28T00:42:09.445Z] 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.
[2025-06-28T00:42:09.445Z] The best model improves the baseline by 14.43%.
[2025-06-28T00:42:09.445Z] Top recommended movies for user id 72:
[2025-06-28T00:42:09.445Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-28T00:42:09.445Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-28T00:42:09.445Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-28T00:42:09.445Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-28T00:42:09.445Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-28T00:42:09.445Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19433.496 ms) ======
[2025-06-28T00:42:09.445Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-28T00:42:09.445Z] GC before operation: completed in 150.484 ms, heap usage 785.694 MB -> 96.343 MB.
[2025-06-28T00:42:12.386Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-28T00:42:15.335Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-28T00:42:18.280Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-28T00:42:21.224Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-28T00:42:23.129Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-28T00:42:25.033Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-28T00:42:26.937Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-28T00:42:28.843Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-28T00:42:29.771Z] 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.
[2025-06-28T00:42:29.771Z] The best model improves the baseline by 14.43%.
[2025-06-28T00:42:29.771Z] Top recommended movies for user id 72:
[2025-06-28T00:42:29.771Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-28T00:42:29.771Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-28T00:42:29.771Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-28T00:42:29.771Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-28T00:42:29.771Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-28T00:42:29.771Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20636.632 ms) ======
[2025-06-28T00:42:29.771Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-28T00:42:29.771Z] GC before operation: completed in 130.025 ms, heap usage 417.057 MB -> 92.807 MB.
[2025-06-28T00:42:32.721Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-28T00:42:35.666Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-28T00:42:38.612Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-28T00:42:41.677Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-28T00:42:44.253Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-28T00:42:45.180Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-28T00:42:47.084Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-28T00:42:48.986Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-28T00:42:49.915Z] 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.
[2025-06-28T00:42:49.915Z] The best model improves the baseline by 14.43%.
[2025-06-28T00:42:49.915Z] Top recommended movies for user id 72:
[2025-06-28T00:42:49.915Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-28T00:42:49.915Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-28T00:42:49.915Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-28T00:42:49.915Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-28T00:42:49.915Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-28T00:42:49.915Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19746.899 ms) ======
[2025-06-28T00:42:49.915Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-28T00:42:49.915Z] GC before operation: completed in 141.974 ms, heap usage 143.881 MB -> 95.458 MB.
[2025-06-28T00:42:52.867Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-28T00:42:55.812Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-28T00:42:58.754Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-28T00:43:01.868Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-28T00:43:03.772Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-28T00:43:05.674Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-28T00:43:07.576Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-28T00:43:09.479Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-28T00:43:10.406Z] 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.
[2025-06-28T00:43:10.406Z] The best model improves the baseline by 14.43%.
[2025-06-28T00:43:10.406Z] Top recommended movies for user id 72:
[2025-06-28T00:43:10.406Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-28T00:43:10.406Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-28T00:43:10.406Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-28T00:43:10.406Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-28T00:43:10.406Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-28T00:43:10.406Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20370.960 ms) ======
[2025-06-28T00:43:10.406Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-28T00:43:10.406Z] GC before operation: completed in 129.128 ms, heap usage 387.707 MB -> 92.595 MB.
[2025-06-28T00:43:13.345Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-28T00:43:16.291Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-28T00:43:19.238Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-28T00:43:22.182Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-28T00:43:24.084Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-28T00:43:25.993Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-28T00:43:27.906Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-28T00:43:29.819Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-28T00:43:29.819Z] 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.
[2025-06-28T00:43:29.819Z] The best model improves the baseline by 14.43%.
[2025-06-28T00:43:30.746Z] Top recommended movies for user id 72:
[2025-06-28T00:43:30.746Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-28T00:43:30.746Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-28T00:43:30.746Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-28T00:43:30.746Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-28T00:43:30.746Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-28T00:43:30.746Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19827.374 ms) ======
[2025-06-28T00:43:31.672Z] -----------------------------------
[2025-06-28T00:43:31.672Z] renaissance-movie-lens_0_PASSED
[2025-06-28T00:43:31.672Z] -----------------------------------
[2025-06-28T00:43:31.672Z]
[2025-06-28T00:43:31.672Z] TEST TEARDOWN:
[2025-06-28T00:43:31.672Z] Nothing to be done for teardown.
[2025-06-28T00:43:31.672Z] renaissance-movie-lens_0 Finish Time: Sat Jun 28 00:43:31 2025 Epoch Time (ms): 1751071411022