renaissance-movie-lens_0
[2026-02-06T22:19:44.907Z] Running test renaissance-movie-lens_0 ...
[2026-02-06T22:19:44.907Z] ===============================================
[2026-02-06T22:19:44.907Z] renaissance-movie-lens_0 Start Time: Fri Feb 6 22:19:44 2026 Epoch Time (ms): 1770416384123
[2026-02-06T22:19:44.907Z] variation: NoOptions
[2026-02-06T22:19:44.907Z] JVM_OPTIONS:
[2026-02-06T22:19:44.907Z] { \
[2026-02-06T22:19:44.907Z] echo ""; echo "TEST SETUP:"; \
[2026-02-06T22:19:44.907Z] echo "Nothing to be done for setup."; \
[2026-02-06T22:19:44.907Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17704154256218/renaissance-movie-lens_0"; \
[2026-02-06T22:19:44.907Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17704154256218/renaissance-movie-lens_0"; \
[2026-02-06T22:19:44.907Z] echo ""; echo "TESTING:"; \
[2026-02-06T22:19:44.907Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/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_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17704154256218/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-06T22:19:44.907Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17704154256218/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-06T22:19:44.907Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-06T22:19:44.907Z] echo "Nothing to be done for teardown."; \
[2026-02-06T22:19:44.907Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17704154256218/TestTargetResult";
[2026-02-06T22:19:44.907Z]
[2026-02-06T22:19:44.907Z] TEST SETUP:
[2026-02-06T22:19:44.907Z] Nothing to be done for setup.
[2026-02-06T22:19:44.907Z]
[2026-02-06T22:19:44.907Z] TESTING:
[2026-02-06T22:19:53.322Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2026-02-06T22:20:07.203Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-06T22:20:07.203Z] Training: 60056, validation: 20285, test: 19854
[2026-02-06T22:20:07.203Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-06T22:20:07.982Z] GC before operation: completed in 177.039 ms, heap usage 478.122 MB -> 75.322 MB.
[2026-02-06T22:20:14.942Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:20:19.459Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:20:22.918Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:20:27.432Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:20:29.056Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:20:31.569Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:20:34.074Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:20:36.589Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:20:37.376Z] 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.
[2026-02-06T22:20:37.376Z] The best model improves the baseline by 14.43%.
[2026-02-06T22:20:37.376Z] Top recommended movies for user id 72:
[2026-02-06T22:20:37.376Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-06T22:20:37.376Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-06T22:20:37.376Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-06T22:20:37.376Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-06T22:20:37.376Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-06T22:20:37.376Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29828.972 ms) ======
[2026-02-06T22:20:37.376Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-06T22:20:37.376Z] GC before operation: completed in 194.271 ms, heap usage 439.259 MB -> 89.348 MB.
[2026-02-06T22:20:41.929Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:20:45.416Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:20:49.039Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:20:52.611Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:20:55.317Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:20:57.817Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:21:00.341Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:21:01.962Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:21:02.748Z] 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.
[2026-02-06T22:21:02.748Z] The best model improves the baseline by 14.43%.
[2026-02-06T22:21:02.748Z] Top recommended movies for user id 72:
[2026-02-06T22:21:02.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-06T22:21:02.748Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-06T22:21:02.748Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-06T22:21:02.748Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-06T22:21:02.748Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-06T22:21:02.748Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25223.436 ms) ======
[2026-02-06T22:21:02.748Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-06T22:21:03.555Z] GC before operation: completed in 252.417 ms, heap usage 842.712 MB -> 94.558 MB.
[2026-02-06T22:21:07.033Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:21:10.523Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:21:15.053Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:21:18.534Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:21:21.036Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:21:23.540Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:21:26.054Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:21:27.663Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:21:28.444Z] 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.
[2026-02-06T22:21:28.444Z] The best model improves the baseline by 14.43%.
[2026-02-06T22:21:28.444Z] Top recommended movies for user id 72:
[2026-02-06T22:21:28.444Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-06T22:21:28.444Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-06T22:21:28.444Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-06T22:21:28.444Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-06T22:21:28.444Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-06T22:21:28.444Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (25260.566 ms) ======
[2026-02-06T22:21:28.444Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-06T22:21:28.444Z] GC before operation: completed in 224.229 ms, heap usage 701.673 MB -> 95.201 MB.
[2026-02-06T22:21:32.969Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:21:36.450Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:21:40.089Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:21:43.555Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:21:46.059Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:21:48.606Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:21:50.224Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:21:52.749Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:21:53.529Z] 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.
[2026-02-06T22:21:53.529Z] The best model improves the baseline by 14.43%.
[2026-02-06T22:21:53.529Z] Top recommended movies for user id 72:
[2026-02-06T22:21:53.529Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-06T22:21:53.529Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-06T22:21:53.529Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-06T22:21:53.529Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-06T22:21:53.529Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-06T22:21:53.529Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (24782.862 ms) ======
[2026-02-06T22:21:53.529Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-06T22:21:53.529Z] GC before operation: completed in 240.461 ms, heap usage 555.814 MB -> 91.914 MB.
[2026-02-06T22:21:56.991Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:22:01.606Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:22:05.435Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:22:08.901Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:22:10.510Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:22:13.013Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:22:15.526Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:22:17.145Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:22:17.924Z] 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.
[2026-02-06T22:22:17.924Z] The best model improves the baseline by 14.43%.
[2026-02-06T22:22:17.924Z] Top recommended movies for user id 72:
[2026-02-06T22:22:17.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-06T22:22:17.924Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-06T22:22:17.924Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-06T22:22:17.924Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-06T22:22:17.924Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-06T22:22:17.924Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24399.236 ms) ======
[2026-02-06T22:22:17.924Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-06T22:22:18.704Z] GC before operation: completed in 244.590 ms, heap usage 525.898 MB -> 91.856 MB.
[2026-02-06T22:22:22.171Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:22:25.642Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:22:29.123Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:22:33.655Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:22:35.269Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:22:37.776Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:22:40.337Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:22:41.979Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:22:42.775Z] 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.
[2026-02-06T22:22:42.776Z] The best model improves the baseline by 14.43%.
[2026-02-06T22:22:42.776Z] Top recommended movies for user id 72:
[2026-02-06T22:22:42.776Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-06T22:22:42.776Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-06T22:22:42.776Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-06T22:22:42.776Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-06T22:22:42.776Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-06T22:22:42.776Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (24371.232 ms) ======
[2026-02-06T22:22:42.776Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-06T22:22:42.776Z] GC before operation: completed in 212.038 ms, heap usage 513.222 MB -> 92.234 MB.
[2026-02-06T22:22:47.310Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:22:50.789Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:22:54.256Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:22:57.726Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:23:00.237Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:23:02.743Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:23:04.352Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:23:06.855Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:23:06.855Z] 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.
[2026-02-06T22:23:06.855Z] The best model improves the baseline by 14.43%.
[2026-02-06T22:23:07.640Z] Top recommended movies for user id 72:
[2026-02-06T22:23:07.640Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-06T22:23:07.640Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-06T22:23:07.640Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-06T22:23:07.640Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-06T22:23:07.640Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-06T22:23:07.640Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24405.170 ms) ======
[2026-02-06T22:23:07.640Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-06T22:23:07.640Z] GC before operation: completed in 246.134 ms, heap usage 442.719 MB -> 92.095 MB.
[2026-02-06T22:23:11.120Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:23:14.792Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:23:19.308Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:23:22.779Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:23:25.283Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:23:27.789Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:23:30.319Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:23:31.937Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:23:32.725Z] 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.
[2026-02-06T22:23:32.725Z] The best model improves the baseline by 14.43%.
[2026-02-06T22:23:32.725Z] Top recommended movies for user id 72:
[2026-02-06T22:23:32.725Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-06T22:23:32.725Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-06T22:23:32.725Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-06T22:23:32.725Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-06T22:23:32.725Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-06T22:23:32.726Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (25195.269 ms) ======
[2026-02-06T22:23:32.726Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-06T22:23:32.726Z] GC before operation: completed in 217.853 ms, heap usage 442.354 MB -> 92.279 MB.
[2026-02-06T22:23:37.245Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:23:40.892Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:23:44.363Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:23:48.004Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:23:50.509Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:23:53.016Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:23:55.519Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:23:58.043Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:23:58.043Z] 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.
[2026-02-06T22:23:58.043Z] The best model improves the baseline by 14.43%.
[2026-02-06T22:23:58.826Z] Top recommended movies for user id 72:
[2026-02-06T22:23:58.826Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-06T22:23:58.826Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-06T22:23:58.826Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-06T22:23:58.826Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-06T22:23:58.826Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-06T22:23:58.826Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (25623.877 ms) ======
[2026-02-06T22:23:58.826Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-06T22:23:58.826Z] GC before operation: completed in 236.171 ms, heap usage 755.920 MB -> 95.769 MB.
[2026-02-06T22:24:03.366Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:24:06.851Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:24:10.322Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:24:14.899Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:24:16.512Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:24:19.015Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:24:21.727Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:24:23.346Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:24:24.145Z] 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.
[2026-02-06T22:24:24.145Z] The best model improves the baseline by 14.43%.
[2026-02-06T22:24:24.145Z] Top recommended movies for user id 72:
[2026-02-06T22:24:24.145Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-06T22:24:24.145Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-06T22:24:24.145Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-06T22:24:24.145Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-06T22:24:24.145Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-06T22:24:24.145Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (25552.207 ms) ======
[2026-02-06T22:24:24.145Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-06T22:24:24.926Z] GC before operation: completed in 227.305 ms, heap usage 432.979 MB -> 92.369 MB.
[2026-02-06T22:24:28.402Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:24:31.883Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:24:36.417Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:24:39.925Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:24:42.439Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:24:44.049Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:24:46.562Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:24:49.071Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:24:49.858Z] 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.
[2026-02-06T22:24:49.858Z] The best model improves the baseline by 14.43%.
[2026-02-06T22:24:49.858Z] Top recommended movies for user id 72:
[2026-02-06T22:24:49.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-06T22:24:49.858Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-06T22:24:49.858Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-06T22:24:49.858Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-06T22:24:49.858Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-06T22:24:49.858Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (25098.360 ms) ======
[2026-02-06T22:24:49.858Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-06T22:24:49.858Z] GC before operation: completed in 217.376 ms, heap usage 591.421 MB -> 92.321 MB.
[2026-02-06T22:24:54.374Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:24:57.847Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:25:01.475Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:25:04.955Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:25:07.484Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:25:09.098Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:25:11.604Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:25:14.128Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:25:14.128Z] 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.
[2026-02-06T22:25:14.128Z] The best model improves the baseline by 14.43%.
[2026-02-06T22:25:14.128Z] Top recommended movies for user id 72:
[2026-02-06T22:25:14.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-06T22:25:14.128Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-06T22:25:14.128Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-06T22:25:14.128Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-06T22:25:14.128Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-06T22:25:14.128Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24418.767 ms) ======
[2026-02-06T22:25:14.129Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-06T22:25:14.909Z] GC before operation: completed in 218.660 ms, heap usage 876.717 MB -> 96.063 MB.
[2026-02-06T22:25:18.390Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:25:21.888Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:25:25.378Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:25:29.219Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:25:30.839Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:25:33.349Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:25:34.963Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:25:37.478Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:25:37.478Z] 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.
[2026-02-06T22:25:37.478Z] The best model improves the baseline by 14.43%.
[2026-02-06T22:25:38.258Z] Top recommended movies for user id 72:
[2026-02-06T22:25:38.258Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-06T22:25:38.258Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-06T22:25:38.258Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-06T22:25:38.258Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-06T22:25:38.258Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-06T22:25:38.258Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23399.333 ms) ======
[2026-02-06T22:25:38.258Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-06T22:25:38.258Z] GC before operation: completed in 251.830 ms, heap usage 776.784 MB -> 96.094 MB.
[2026-02-06T22:25:41.794Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:25:45.271Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:25:49.800Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:25:52.313Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:25:54.821Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:25:57.343Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:25:58.959Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:26:01.465Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:26:01.465Z] 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.
[2026-02-06T22:26:01.465Z] The best model improves the baseline by 14.43%.
[2026-02-06T22:26:02.245Z] Top recommended movies for user id 72:
[2026-02-06T22:26:02.245Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-06T22:26:02.245Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-06T22:26:02.245Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-06T22:26:02.245Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-06T22:26:02.245Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-06T22:26:02.245Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23830.090 ms) ======
[2026-02-06T22:26:02.245Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-06T22:26:02.245Z] GC before operation: completed in 230.975 ms, heap usage 845.080 MB -> 95.967 MB.
[2026-02-06T22:26:05.715Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:26:09.184Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:26:13.738Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:26:17.211Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:26:18.833Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:26:21.345Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:26:23.856Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:26:25.474Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:26:26.260Z] 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.
[2026-02-06T22:26:26.260Z] The best model improves the baseline by 14.43%.
[2026-02-06T22:26:26.260Z] Top recommended movies for user id 72:
[2026-02-06T22:26:26.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-06T22:26:26.260Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-06T22:26:26.260Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-06T22:26:26.260Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-06T22:26:26.260Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-06T22:26:26.260Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23895.572 ms) ======
[2026-02-06T22:26:26.260Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-06T22:26:26.260Z] GC before operation: completed in 229.913 ms, heap usage 286.685 MB -> 92.388 MB.
[2026-02-06T22:26:30.769Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:26:34.231Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:26:38.077Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:26:40.632Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:26:43.130Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:26:45.636Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:26:47.249Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:26:49.762Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:26:50.541Z] 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.
[2026-02-06T22:26:50.541Z] The best model improves the baseline by 14.43%.
[2026-02-06T22:26:50.541Z] Top recommended movies for user id 72:
[2026-02-06T22:26:50.541Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-06T22:26:50.541Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-06T22:26:50.541Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-06T22:26:50.541Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-06T22:26:50.541Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-06T22:26:50.541Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (24007.090 ms) ======
[2026-02-06T22:26:50.541Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-06T22:26:50.541Z] GC before operation: completed in 231.281 ms, heap usage 301.426 MB -> 92.211 MB.
[2026-02-06T22:26:54.003Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:26:58.523Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:27:02.003Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:27:05.465Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:27:07.087Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:27:09.593Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:27:12.112Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:27:13.724Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:27:14.505Z] 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.
[2026-02-06T22:27:14.505Z] The best model improves the baseline by 14.43%.
[2026-02-06T22:27:14.505Z] Top recommended movies for user id 72:
[2026-02-06T22:27:14.505Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-06T22:27:14.505Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-06T22:27:14.505Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-06T22:27:14.505Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-06T22:27:14.505Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-06T22:27:14.505Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23944.194 ms) ======
[2026-02-06T22:27:14.505Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-06T22:27:14.505Z] GC before operation: completed in 235.290 ms, heap usage 625.310 MB -> 92.638 MB.
[2026-02-06T22:27:19.017Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:27:22.514Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:27:25.998Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:27:29.471Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:27:31.083Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:27:33.588Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:27:36.147Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:27:37.762Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:27:38.543Z] 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.
[2026-02-06T22:27:38.543Z] The best model improves the baseline by 14.43%.
[2026-02-06T22:27:38.543Z] Top recommended movies for user id 72:
[2026-02-06T22:27:38.543Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-06T22:27:38.543Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-06T22:27:38.543Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-06T22:27:38.543Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-06T22:27:38.543Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-06T22:27:38.543Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23632.668 ms) ======
[2026-02-06T22:27:38.543Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-06T22:27:38.543Z] GC before operation: completed in 199.425 ms, heap usage 199.538 MB -> 93.009 MB.
[2026-02-06T22:27:42.022Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:27:45.861Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:27:49.328Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:27:52.799Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:27:55.307Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:27:56.922Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:27:59.425Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:28:01.962Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:28:01.962Z] 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.
[2026-02-06T22:28:01.962Z] The best model improves the baseline by 14.43%.
[2026-02-06T22:28:01.962Z] Top recommended movies for user id 72:
[2026-02-06T22:28:01.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-06T22:28:01.962Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-06T22:28:01.962Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-06T22:28:01.962Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-06T22:28:01.962Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-06T22:28:01.962Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23622.148 ms) ======
[2026-02-06T22:28:01.962Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-06T22:28:02.742Z] GC before operation: completed in 239.128 ms, heap usage 372.296 MB -> 92.418 MB.
[2026-02-06T22:28:06.206Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:28:09.681Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:28:13.151Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:28:16.619Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:28:19.139Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:28:20.752Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:28:23.261Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:28:25.771Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:28:25.771Z] 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.
[2026-02-06T22:28:25.771Z] The best model improves the baseline by 14.43%.
[2026-02-06T22:28:25.771Z] Top recommended movies for user id 72:
[2026-02-06T22:28:25.771Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-06T22:28:25.771Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-06T22:28:25.771Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-06T22:28:25.771Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-06T22:28:25.771Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-06T22:28:25.771Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23392.877 ms) ======
[2026-02-06T22:28:26.551Z] -----------------------------------
[2026-02-06T22:28:26.551Z] renaissance-movie-lens_0_PASSED
[2026-02-06T22:28:26.551Z] -----------------------------------
[2026-02-06T22:28:26.551Z]
[2026-02-06T22:28:26.551Z] TEST TEARDOWN:
[2026-02-06T22:28:26.551Z] Nothing to be done for teardown.
[2026-02-06T22:28:26.551Z] renaissance-movie-lens_0 Finish Time: Fri Feb 6 22:28:26 2026 Epoch Time (ms): 1770416906034