renaissance-movie-lens_0
[2025-06-12T17:49:30.516Z] Running test renaissance-movie-lens_0 ...
[2025-06-12T17:49:30.516Z] ===============================================
[2025-06-12T17:49:30.516Z] renaissance-movie-lens_0 Start Time: Thu Jun 12 18:49:30 2025 Epoch Time (ms): 1749750570315
[2025-06-12T17:49:30.516Z] variation: NoOptions
[2025-06-12T17:49:30.516Z] JVM_OPTIONS:
[2025-06-12T17:49:30.516Z] { \
[2025-06-12T17:49:30.516Z] echo ""; echo "TEST SETUP:"; \
[2025-06-12T17:49:30.516Z] echo "Nothing to be done for setup."; \
[2025-06-12T17:49:30.516Z] mkdir -p "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17497385146476/renaissance-movie-lens_0"; \
[2025-06-12T17:49:30.516Z] cd "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17497385146476/renaissance-movie-lens_0"; \
[2025-06-12T17:49:30.516Z] echo ""; echo "TESTING:"; \
[2025-06-12T17:49:30.516Z] "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17497385146476/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-12T17:49:30.516Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/..; rm -f -r "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17497385146476/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-12T17:49:30.516Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-12T17:49:30.516Z] echo "Nothing to be done for teardown."; \
[2025-06-12T17:49:30.516Z] } 2>&1 | tee -a "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17497385146476/TestTargetResult";
[2025-06-12T17:49:30.516Z]
[2025-06-12T17:49:30.516Z] TEST SETUP:
[2025-06-12T17:49:30.516Z] Nothing to be done for setup.
[2025-06-12T17:49:30.516Z]
[2025-06-12T17:49:30.516Z] TESTING:
[2025-06-12T17:49:38.044Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-06-12T17:49:49.149Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-12T17:49:49.149Z] Training: 60056, validation: 20285, test: 19854
[2025-06-12T17:49:49.149Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-12T17:49:49.149Z] GC before operation: completed in 121.529 ms, heap usage 395.157 MB -> 75.124 MB.
[2025-06-12T17:50:17.315Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T17:50:36.827Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T17:51:00.274Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T17:51:19.786Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T17:51:28.982Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T17:51:40.172Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T17:51:56.381Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T17:52:05.544Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T17:52:05.544Z] 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.
[2025-06-12T17:52:05.544Z] The best model improves the baseline by 14.43%.
[2025-06-12T17:52:05.544Z] Top recommended movies for user id 72:
[2025-06-12T17:52:05.544Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T17:52:05.544Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T17:52:05.544Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T17:52:05.544Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T17:52:05.544Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T17:52:05.544Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (136733.195 ms) ======
[2025-06-12T17:52:05.544Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-12T17:52:05.897Z] GC before operation: completed in 204.369 ms, heap usage 889.607 MB -> 90.916 MB.
[2025-06-12T17:52:29.343Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T17:52:48.860Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T17:53:17.034Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T17:53:36.605Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T17:53:47.728Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T17:53:58.891Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T17:54:15.097Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T17:54:31.343Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T17:54:31.343Z] 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.
[2025-06-12T17:54:31.343Z] The best model improves the baseline by 14.43%.
[2025-06-12T17:54:31.343Z] Top recommended movies for user id 72:
[2025-06-12T17:54:31.343Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T17:54:31.343Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T17:54:31.343Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T17:54:31.343Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T17:54:31.343Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T17:54:31.343Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (144475.222 ms) ======
[2025-06-12T17:54:31.343Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-12T17:54:31.343Z] GC before operation: completed in 199.584 ms, heap usage 231.005 MB -> 92.869 MB.
[2025-06-12T17:54:54.814Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T17:55:18.269Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T17:55:46.422Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T17:56:06.001Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T17:56:19.439Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T17:56:30.562Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T17:56:44.002Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T17:56:54.246Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T17:56:54.246Z] 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.
[2025-06-12T17:56:54.246Z] The best model improves the baseline by 14.43%.
[2025-06-12T17:56:54.246Z] Top recommended movies for user id 72:
[2025-06-12T17:56:54.246Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T17:56:54.246Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T17:56:54.246Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T17:56:54.246Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T17:56:54.246Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T17:56:54.246Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (143650.610 ms) ======
[2025-06-12T17:56:54.246Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-12T17:56:54.246Z] GC before operation: completed in 178.784 ms, heap usage 643.380 MB -> 96.269 MB.
[2025-06-12T17:57:22.541Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T17:57:42.045Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T17:58:20.664Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T17:58:36.867Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T17:58:47.985Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T17:58:57.201Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T17:59:10.643Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T17:59:21.811Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T17:59:21.811Z] 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.
[2025-06-12T17:59:21.811Z] The best model improves the baseline by 14.43%.
[2025-06-12T17:59:21.811Z] Top recommended movies for user id 72:
[2025-06-12T17:59:21.811Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T17:59:21.811Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T17:59:21.811Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T17:59:21.811Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T17:59:21.811Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T17:59:21.811Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (146691.011 ms) ======
[2025-06-12T17:59:21.811Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-12T17:59:21.811Z] GC before operation: completed in 181.682 ms, heap usage 801.705 MB -> 94.248 MB.
[2025-06-12T17:59:45.267Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T18:00:04.883Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T18:00:33.052Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T18:00:49.315Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T18:01:00.478Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T18:01:09.648Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T18:01:25.881Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T18:01:42.710Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T18:01:42.711Z] 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.
[2025-06-12T18:01:42.711Z] The best model improves the baseline by 14.43%.
[2025-06-12T18:01:43.070Z] Top recommended movies for user id 72:
[2025-06-12T18:01:43.070Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T18:01:43.070Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T18:01:43.070Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T18:01:43.070Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T18:01:43.070Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T18:01:43.070Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (141785.633 ms) ======
[2025-06-12T18:01:43.070Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-12T18:01:43.070Z] GC before operation: completed in 188.771 ms, heap usage 681.971 MB -> 94.066 MB.
[2025-06-12T18:02:06.588Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T18:02:30.053Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T18:02:58.211Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T18:03:14.426Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T18:03:25.548Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T18:03:36.702Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T18:03:50.158Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T18:04:01.306Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T18:04:01.306Z] 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.
[2025-06-12T18:04:01.306Z] The best model improves the baseline by 14.43%.
[2025-06-12T18:04:01.306Z] Top recommended movies for user id 72:
[2025-06-12T18:04:01.306Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T18:04:01.306Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T18:04:01.306Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T18:04:01.306Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T18:04:01.306Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T18:04:01.306Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (137279.863 ms) ======
[2025-06-12T18:04:01.306Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-12T18:04:01.306Z] GC before operation: completed in 291.121 ms, heap usage 1.353 GB -> 96.902 MB.
[2025-06-12T18:04:24.768Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T18:04:44.336Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T18:05:12.510Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T18:05:28.715Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T18:05:40.992Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T18:05:52.104Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T18:06:08.312Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T18:06:19.520Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T18:06:19.520Z] 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.
[2025-06-12T18:06:19.520Z] The best model improves the baseline by 14.43%.
[2025-06-12T18:06:19.520Z] Top recommended movies for user id 72:
[2025-06-12T18:06:19.520Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T18:06:19.520Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T18:06:19.520Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T18:06:19.521Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T18:06:19.521Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T18:06:19.521Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (138466.327 ms) ======
[2025-06-12T18:06:19.521Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-12T18:06:19.521Z] GC before operation: completed in 195.375 ms, heap usage 352.279 MB -> 96.485 MB.
[2025-06-12T18:06:47.864Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T18:07:07.369Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T18:07:35.531Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T18:07:51.874Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T18:08:02.997Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T18:08:14.116Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T18:08:27.626Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T18:08:36.818Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T18:08:37.177Z] 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.
[2025-06-12T18:08:37.177Z] The best model improves the baseline by 14.43%.
[2025-06-12T18:08:37.533Z] Top recommended movies for user id 72:
[2025-06-12T18:08:37.533Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T18:08:37.533Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T18:08:37.533Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T18:08:37.533Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T18:08:37.533Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T18:08:37.533Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (138104.627 ms) ======
[2025-06-12T18:08:37.533Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-12T18:08:37.533Z] GC before operation: completed in 203.699 ms, heap usage 875.790 MB -> 97.026 MB.
[2025-06-12T18:09:01.018Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T18:09:24.484Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T18:09:47.950Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T18:10:18.484Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T18:10:27.693Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T18:10:38.812Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T18:10:52.302Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T18:11:01.523Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T18:11:01.523Z] 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.
[2025-06-12T18:11:01.523Z] The best model improves the baseline by 14.43%.
[2025-06-12T18:11:01.876Z] Top recommended movies for user id 72:
[2025-06-12T18:11:01.876Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T18:11:01.876Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T18:11:01.876Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T18:11:01.876Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T18:11:01.876Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T18:11:01.876Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (144077.915 ms) ======
[2025-06-12T18:11:01.876Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-12T18:11:01.876Z] GC before operation: completed in 184.595 ms, heap usage 397.604 MB -> 94.164 MB.
[2025-06-12T18:11:25.335Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T18:11:44.854Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T18:12:13.022Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T18:12:29.260Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T18:12:40.380Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T18:12:51.558Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T18:13:04.996Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T18:13:16.113Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T18:13:16.113Z] 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.
[2025-06-12T18:13:16.113Z] The best model improves the baseline by 14.43%.
[2025-06-12T18:13:16.113Z] Top recommended movies for user id 72:
[2025-06-12T18:13:16.113Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T18:13:16.113Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T18:13:16.113Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T18:13:16.113Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T18:13:16.113Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T18:13:16.113Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (133246.064 ms) ======
[2025-06-12T18:13:16.113Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-12T18:13:16.113Z] GC before operation: completed in 176.059 ms, heap usage 417.323 MB -> 96.777 MB.
[2025-06-12T18:13:48.574Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T18:14:08.180Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T18:14:36.352Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T18:14:52.567Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T18:15:03.728Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T18:15:14.847Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T18:15:34.407Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T18:15:43.564Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T18:15:43.564Z] 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.
[2025-06-12T18:15:43.564Z] The best model improves the baseline by 14.43%.
[2025-06-12T18:15:43.564Z] Top recommended movies for user id 72:
[2025-06-12T18:15:43.564Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T18:15:43.564Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T18:15:43.564Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T18:15:43.564Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T18:15:43.564Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T18:15:43.564Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (147786.801 ms) ======
[2025-06-12T18:15:43.564Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-12T18:15:43.564Z] GC before operation: completed in 204.204 ms, heap usage 429.159 MB -> 96.449 MB.
[2025-06-12T18:16:13.911Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T18:16:42.439Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T18:17:10.600Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T18:17:26.810Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T18:17:37.967Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T18:17:47.140Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T18:18:03.380Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T18:18:14.492Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T18:18:14.492Z] 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.
[2025-06-12T18:18:14.492Z] The best model improves the baseline by 14.43%.
[2025-06-12T18:18:14.492Z] Top recommended movies for user id 72:
[2025-06-12T18:18:14.492Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T18:18:14.492Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T18:18:14.492Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T18:18:14.492Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T18:18:14.492Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T18:18:14.492Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (151039.525 ms) ======
[2025-06-12T18:18:14.492Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-12T18:18:14.492Z] GC before operation: completed in 183.820 ms, heap usage 563.519 MB -> 94.420 MB.
[2025-06-12T18:18:38.293Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T18:19:06.489Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T18:19:34.661Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T18:19:54.187Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T18:20:13.656Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T18:20:22.838Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T18:20:36.287Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T18:20:47.415Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T18:20:47.415Z] 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.
[2025-06-12T18:20:47.415Z] The best model improves the baseline by 14.43%.
[2025-06-12T18:20:47.415Z] Top recommended movies for user id 72:
[2025-06-12T18:20:47.415Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T18:20:47.415Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T18:20:47.415Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T18:20:47.415Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T18:20:47.415Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T18:20:47.415Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (152049.484 ms) ======
[2025-06-12T18:20:47.415Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-12T18:20:47.415Z] GC before operation: completed in 173.975 ms, heap usage 609.462 MB -> 94.626 MB.
[2025-06-12T18:21:10.885Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T18:21:30.414Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T18:21:58.603Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T18:22:14.928Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T18:22:26.054Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T18:22:35.295Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T18:22:51.519Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T18:22:59.110Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T18:22:59.465Z] 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.
[2025-06-12T18:22:59.465Z] The best model improves the baseline by 14.43%.
[2025-06-12T18:22:59.819Z] Top recommended movies for user id 72:
[2025-06-12T18:22:59.820Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T18:22:59.820Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T18:22:59.820Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T18:22:59.820Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T18:22:59.820Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T18:22:59.820Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (133086.581 ms) ======
[2025-06-12T18:22:59.820Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-12T18:23:00.172Z] GC before operation: completed in 176.859 ms, heap usage 267.088 MB -> 94.218 MB.
[2025-06-12T18:23:23.632Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T18:23:47.100Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T18:24:15.348Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T18:24:44.910Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T18:24:56.034Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T18:25:13.709Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T18:25:29.925Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T18:25:45.789Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T18:25:45.789Z] 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.
[2025-06-12T18:25:45.789Z] The best model improves the baseline by 14.43%.
[2025-06-12T18:25:45.789Z] Top recommended movies for user id 72:
[2025-06-12T18:25:45.789Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T18:25:45.789Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T18:25:45.789Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T18:25:45.789Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T18:25:45.789Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T18:25:45.789Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (165678.916 ms) ======
[2025-06-12T18:25:45.789Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-12T18:25:46.142Z] GC before operation: completed in 264.747 ms, heap usage 376.453 MB -> 96.871 MB.
[2025-06-12T18:26:09.617Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T18:26:37.846Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T18:27:01.294Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T18:27:17.518Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T18:27:28.645Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T18:27:39.765Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T18:27:53.212Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T18:28:04.337Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T18:28:04.337Z] 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.
[2025-06-12T18:28:04.337Z] The best model improves the baseline by 14.43%.
[2025-06-12T18:28:04.337Z] Top recommended movies for user id 72:
[2025-06-12T18:28:04.337Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T18:28:04.337Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T18:28:04.337Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T18:28:04.337Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T18:28:04.337Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T18:28:04.337Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (138165.588 ms) ======
[2025-06-12T18:28:04.337Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-12T18:28:04.337Z] GC before operation: completed in 173.009 ms, heap usage 257.921 MB -> 96.721 MB.
[2025-06-12T18:28:32.518Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T18:28:56.011Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T18:29:25.119Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T18:29:46.235Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T18:29:57.353Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T18:30:14.358Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T18:30:30.578Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T18:30:38.176Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T18:30:38.531Z] 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.
[2025-06-12T18:30:38.904Z] The best model improves the baseline by 14.43%.
[2025-06-12T18:30:38.904Z] Top recommended movies for user id 72:
[2025-06-12T18:30:38.904Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T18:30:38.904Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T18:30:38.904Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T18:30:38.904Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T18:30:38.904Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T18:30:38.904Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (154621.572 ms) ======
[2025-06-12T18:30:38.904Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-12T18:30:39.259Z] GC before operation: completed in 175.386 ms, heap usage 668.958 MB -> 94.715 MB.
[2025-06-12T18:31:02.724Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T18:31:22.236Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T18:31:50.429Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T18:32:06.655Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T18:32:20.113Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T18:32:31.558Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T18:32:45.000Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T18:32:56.227Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T18:32:56.227Z] 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.
[2025-06-12T18:32:56.227Z] The best model improves the baseline by 14.43%.
[2025-06-12T18:32:56.227Z] Top recommended movies for user id 72:
[2025-06-12T18:32:56.227Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T18:32:56.227Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T18:32:56.227Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T18:32:56.227Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T18:32:56.227Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T18:32:56.227Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (136904.014 ms) ======
[2025-06-12T18:32:56.227Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-12T18:32:56.227Z] GC before operation: completed in 187.249 ms, heap usage 375.138 MB -> 96.692 MB.
[2025-06-12T18:33:30.723Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T18:33:54.206Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T18:34:17.688Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T18:34:47.331Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T18:34:58.451Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T18:35:09.568Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T18:35:25.777Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T18:35:37.046Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T18:35:37.046Z] 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.
[2025-06-12T18:35:37.046Z] The best model improves the baseline by 14.43%.
[2025-06-12T18:35:37.046Z] Top recommended movies for user id 72:
[2025-06-12T18:35:37.046Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T18:35:37.046Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T18:35:37.046Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T18:35:37.046Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T18:35:37.046Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T18:35:37.046Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (160870.601 ms) ======
[2025-06-12T18:35:37.046Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-12T18:35:37.400Z] GC before operation: completed in 177.911 ms, heap usage 796.815 MB -> 94.790 MB.
[2025-06-12T18:36:05.590Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T18:36:29.071Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T18:36:52.532Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T18:37:12.083Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T18:37:21.272Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T18:37:32.398Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T18:37:45.867Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T18:37:55.043Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T18:37:55.398Z] 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.
[2025-06-12T18:37:55.398Z] The best model improves the baseline by 14.43%.
[2025-06-12T18:37:55.785Z] Top recommended movies for user id 72:
[2025-06-12T18:37:55.785Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T18:37:55.785Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T18:37:55.785Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T18:37:55.785Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T18:37:55.785Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T18:37:55.785Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (138329.513 ms) ======
[2025-06-12T18:37:56.545Z] -----------------------------------
[2025-06-12T18:37:56.545Z] renaissance-movie-lens_0_PASSED
[2025-06-12T18:37:56.545Z] -----------------------------------
[2025-06-12T18:37:56.545Z]
[2025-06-12T18:37:56.545Z] TEST TEARDOWN:
[2025-06-12T18:37:56.545Z] Nothing to be done for teardown.
[2025-06-12T18:37:56.545Z] renaissance-movie-lens_0 Finish Time: Thu Jun 12 19:37:56 2025 Epoch Time (ms): 1749753476496