renaissance-movie-lens_0
[2025-07-16T04:39:58.232Z] Running test renaissance-movie-lens_0 ...
[2025-07-16T04:39:58.232Z] ===============================================
[2025-07-16T04:39:58.232Z] renaissance-movie-lens_0 Start Time: Wed Jul 16 04:39:57 2025 Epoch Time (ms): 1752640797877
[2025-07-16T04:39:58.232Z] variation: NoOptions
[2025-07-16T04:39:58.232Z] JVM_OPTIONS:
[2025-07-16T04:39:58.232Z] { \
[2025-07-16T04:39:58.232Z] echo ""; echo "TEST SETUP:"; \
[2025-07-16T04:39:58.232Z] echo "Nothing to be done for setup."; \
[2025-07-16T04:39:58.232Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1752638361825/renaissance-movie-lens_0"; \
[2025-07-16T04:39:58.232Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1752638361825/renaissance-movie-lens_0"; \
[2025-07-16T04:39:58.232Z] echo ""; echo "TESTING:"; \
[2025-07-16T04:39:58.232Z] "/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_1752638361825/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-07-16T04:39:58.232Z] 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_1752638361825/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-07-16T04:39:58.232Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-07-16T04:39:58.232Z] echo "Nothing to be done for teardown."; \
[2025-07-16T04:39:58.232Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1752638361825/TestTargetResult";
[2025-07-16T04:39:58.232Z]
[2025-07-16T04:39:58.232Z] TEST SETUP:
[2025-07-16T04:39:58.232Z] Nothing to be done for setup.
[2025-07-16T04:39:58.232Z]
[2025-07-16T04:39:58.232Z] TESTING:
[2025-07-16T04:40:46.682Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads.
[2025-07-16T04:40:56.591Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-07-16T04:40:57.369Z] Training: 60056, validation: 20285, test: 19854
[2025-07-16T04:40:57.369Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-07-16T04:40:57.369Z] GC before operation: completed in 176.056 ms, heap usage 563.172 MB -> 75.148 MB.
[2025-07-16T04:41:04.272Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T04:41:08.750Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T04:41:14.401Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T04:41:17.840Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T04:41:20.330Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T04:41:22.811Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T04:41:26.260Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T04:41:27.875Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T04:41:28.649Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-16T04:41:28.649Z] The best model improves the baseline by 14.43%.
[2025-07-16T04:41:28.649Z] Top recommended movies for user id 72:
[2025-07-16T04:41:28.649Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T04:41:28.649Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T04:41:28.649Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T04:41:28.649Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T04:41:28.649Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T04:41:28.649Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (31383.289 ms) ======
[2025-07-16T04:41:28.649Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-07-16T04:41:29.422Z] GC before operation: completed in 220.760 ms, heap usage 436.238 MB -> 87.352 MB.
[2025-07-16T04:41:33.910Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T04:41:37.363Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T04:41:41.845Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T04:41:46.342Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T04:41:48.822Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T04:41:51.309Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T04:41:56.945Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T04:41:58.541Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T04:41:59.317Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-16T04:41:59.317Z] The best model improves the baseline by 14.43%.
[2025-07-16T04:41:59.317Z] Top recommended movies for user id 72:
[2025-07-16T04:41:59.317Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T04:41:59.317Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T04:41:59.317Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T04:41:59.317Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T04:41:59.317Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T04:41:59.317Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (30235.785 ms) ======
[2025-07-16T04:41:59.317Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-07-16T04:41:59.317Z] GC before operation: completed in 212.160 ms, heap usage 1.163 GB -> 94.476 MB.
[2025-07-16T04:42:03.812Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T04:42:07.270Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T04:42:11.742Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T04:42:15.205Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T04:42:17.686Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T04:42:20.175Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T04:42:22.663Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T04:42:25.138Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T04:42:25.138Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-16T04:42:25.138Z] The best model improves the baseline by 14.43%.
[2025-07-16T04:42:25.919Z] Top recommended movies for user id 72:
[2025-07-16T04:42:25.919Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T04:42:25.919Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T04:42:25.919Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T04:42:25.919Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T04:42:25.919Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T04:42:25.919Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (26238.471 ms) ======
[2025-07-16T04:42:25.919Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-07-16T04:42:25.919Z] GC before operation: completed in 238.610 ms, heap usage 638.580 MB -> 90.999 MB.
[2025-07-16T04:42:30.392Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T04:42:33.842Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T04:42:38.518Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T04:42:41.980Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T04:42:44.458Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T04:42:46.938Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T04:42:49.415Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T04:42:51.898Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T04:42:51.898Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-16T04:42:51.898Z] The best model improves the baseline by 14.43%.
[2025-07-16T04:42:51.898Z] Top recommended movies for user id 72:
[2025-07-16T04:42:51.898Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T04:42:51.898Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T04:42:51.898Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T04:42:51.898Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T04:42:51.898Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T04:42:51.898Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (26215.105 ms) ======
[2025-07-16T04:42:51.898Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-07-16T04:42:52.670Z] GC before operation: completed in 225.525 ms, heap usage 1002.086 MB -> 95.033 MB.
[2025-07-16T04:42:56.106Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T04:43:00.585Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T04:43:07.463Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T04:43:10.920Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T04:43:13.399Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T04:43:15.886Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T04:43:18.373Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T04:43:20.858Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T04:43:21.629Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-16T04:43:21.629Z] The best model improves the baseline by 14.43%.
[2025-07-16T04:43:21.629Z] Top recommended movies for user id 72:
[2025-07-16T04:43:21.629Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T04:43:21.629Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T04:43:21.629Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T04:43:21.629Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T04:43:21.629Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T04:43:21.629Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (29145.396 ms) ======
[2025-07-16T04:43:21.629Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-07-16T04:43:21.629Z] GC before operation: completed in 207.570 ms, heap usage 327.569 MB -> 91.034 MB.
[2025-07-16T04:43:26.102Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T04:43:29.539Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T04:43:35.171Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T04:43:39.649Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T04:43:41.249Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T04:43:43.746Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T04:43:46.261Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T04:43:48.748Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T04:43:48.748Z] 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.
[2025-07-16T04:43:48.748Z] The best model improves the baseline by 14.43%.
[2025-07-16T04:43:49.521Z] Top recommended movies for user id 72:
[2025-07-16T04:43:49.521Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T04:43:49.521Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T04:43:49.521Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T04:43:49.521Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T04:43:49.521Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T04:43:49.521Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (27374.308 ms) ======
[2025-07-16T04:43:49.521Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-07-16T04:43:49.521Z] GC before operation: completed in 233.134 ms, heap usage 1.193 GB -> 96.002 MB.
[2025-07-16T04:43:52.957Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T04:43:57.439Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T04:44:09.149Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T04:44:11.631Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T04:44:14.112Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T04:44:15.743Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T04:44:19.195Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T04:44:21.703Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T04:44:21.703Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-16T04:44:21.703Z] The best model improves the baseline by 14.43%.
[2025-07-16T04:44:21.703Z] Top recommended movies for user id 72:
[2025-07-16T04:44:21.703Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T04:44:21.703Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T04:44:21.703Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T04:44:21.703Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T04:44:21.703Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T04:44:21.703Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (32427.554 ms) ======
[2025-07-16T04:44:21.703Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-07-16T04:44:21.703Z] GC before operation: completed in 213.778 ms, heap usage 397.723 MB -> 91.437 MB.
[2025-07-16T04:44:26.178Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T04:44:29.789Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T04:44:35.427Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T04:44:38.864Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T04:44:40.462Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T04:44:42.951Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T04:44:45.451Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T04:44:47.949Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T04:44:47.949Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-16T04:44:47.949Z] The best model improves the baseline by 14.43%.
[2025-07-16T04:44:48.722Z] Top recommended movies for user id 72:
[2025-07-16T04:44:48.722Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T04:44:48.723Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T04:44:48.723Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T04:44:48.723Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T04:44:48.723Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T04:44:48.723Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (26314.315 ms) ======
[2025-07-16T04:44:48.723Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-07-16T04:44:48.723Z] GC before operation: completed in 198.645 ms, heap usage 1.115 GB -> 95.828 MB.
[2025-07-16T04:44:52.159Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T04:44:55.973Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T04:45:01.590Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T04:45:04.089Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T04:45:07.534Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T04:45:09.144Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T04:45:12.578Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T04:45:16.020Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T04:45:16.020Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-16T04:45:16.020Z] The best model improves the baseline by 14.43%.
[2025-07-16T04:45:16.020Z] Top recommended movies for user id 72:
[2025-07-16T04:45:16.020Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T04:45:16.020Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T04:45:16.020Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T04:45:16.020Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T04:45:16.020Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T04:45:16.020Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (27594.980 ms) ======
[2025-07-16T04:45:16.020Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-07-16T04:45:16.020Z] GC before operation: completed in 198.197 ms, heap usage 555.788 MB -> 91.556 MB.
[2025-07-16T04:45:20.494Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T04:45:23.927Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T04:45:29.542Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T04:45:32.976Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T04:45:34.576Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T04:45:37.063Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T04:45:40.499Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T04:45:42.100Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T04:45:42.872Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-16T04:45:42.872Z] The best model improves the baseline by 14.43%.
[2025-07-16T04:45:42.872Z] Top recommended movies for user id 72:
[2025-07-16T04:45:42.872Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T04:45:42.872Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T04:45:42.872Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T04:45:42.872Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T04:45:42.872Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T04:45:42.872Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (26563.036 ms) ======
[2025-07-16T04:45:42.872Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-07-16T04:45:42.872Z] GC before operation: completed in 212.674 ms, heap usage 615.588 MB -> 91.861 MB.
[2025-07-16T04:45:47.360Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T04:45:50.803Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T04:45:55.279Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T04:45:58.714Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T04:46:01.247Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T04:46:03.754Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T04:46:06.244Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T04:46:08.728Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T04:46:08.728Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-16T04:46:08.729Z] The best model improves the baseline by 14.43%.
[2025-07-16T04:46:08.729Z] Top recommended movies for user id 72:
[2025-07-16T04:46:08.729Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T04:46:08.729Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T04:46:08.729Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T04:46:08.729Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T04:46:08.729Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T04:46:08.729Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (25635.162 ms) ======
[2025-07-16T04:46:08.729Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-07-16T04:46:08.729Z] GC before operation: completed in 212.199 ms, heap usage 974.496 MB -> 95.180 MB.
[2025-07-16T04:46:14.363Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T04:46:18.855Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T04:46:23.330Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T04:46:26.765Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T04:46:29.246Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T04:46:31.726Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T04:46:34.211Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T04:46:36.696Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T04:46:36.696Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-16T04:46:36.696Z] The best model improves the baseline by 14.43%.
[2025-07-16T04:46:37.469Z] Top recommended movies for user id 72:
[2025-07-16T04:46:37.469Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T04:46:37.469Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T04:46:37.469Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T04:46:37.469Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T04:46:37.469Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T04:46:37.469Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (28221.924 ms) ======
[2025-07-16T04:46:37.469Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-07-16T04:46:37.469Z] GC before operation: completed in 205.294 ms, heap usage 1.117 GB -> 95.831 MB.
[2025-07-16T04:46:40.904Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T04:46:45.379Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T04:46:49.884Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T04:46:52.388Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T04:46:54.869Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T04:46:57.351Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T04:46:59.835Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T04:47:02.310Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T04:47:02.310Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-16T04:47:02.310Z] The best model improves the baseline by 14.43%.
[2025-07-16T04:47:02.310Z] Top recommended movies for user id 72:
[2025-07-16T04:47:02.310Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T04:47:02.310Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T04:47:02.310Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T04:47:02.310Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T04:47:02.311Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T04:47:02.311Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (25282.194 ms) ======
[2025-07-16T04:47:02.311Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-07-16T04:47:03.082Z] GC before operation: completed in 212.654 ms, heap usage 686.681 MB -> 91.962 MB.
[2025-07-16T04:47:06.535Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T04:47:11.016Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T04:47:21.097Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T04:47:24.537Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T04:47:26.132Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T04:47:28.622Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T04:47:33.111Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T04:47:34.714Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T04:47:35.488Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-16T04:47:35.488Z] The best model improves the baseline by 14.43%.
[2025-07-16T04:47:35.488Z] Top recommended movies for user id 72:
[2025-07-16T04:47:35.488Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T04:47:35.488Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T04:47:35.488Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T04:47:35.488Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T04:47:35.488Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T04:47:35.488Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (32596.958 ms) ======
[2025-07-16T04:47:35.488Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-07-16T04:47:35.488Z] GC before operation: completed in 206.571 ms, heap usage 308.485 MB -> 94.628 MB.
[2025-07-16T04:47:39.967Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T04:47:43.414Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T04:47:48.206Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T04:47:50.861Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T04:47:53.340Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T04:47:55.078Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T04:47:58.628Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T04:48:00.245Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T04:48:01.016Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-16T04:48:01.016Z] The best model improves the baseline by 14.43%.
[2025-07-16T04:48:01.016Z] Top recommended movies for user id 72:
[2025-07-16T04:48:01.016Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T04:48:01.016Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T04:48:01.016Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T04:48:01.016Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T04:48:01.016Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T04:48:01.016Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (25180.264 ms) ======
[2025-07-16T04:48:01.016Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-07-16T04:48:01.016Z] GC before operation: completed in 187.526 ms, heap usage 194.787 MB -> 93.425 MB.
[2025-07-16T04:48:04.568Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T04:48:08.008Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T04:48:12.483Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T04:48:15.915Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T04:48:18.420Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T04:48:20.897Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T04:48:30.797Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T04:48:33.279Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T04:48:33.279Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-16T04:48:33.279Z] The best model improves the baseline by 14.43%.
[2025-07-16T04:48:33.279Z] Top recommended movies for user id 72:
[2025-07-16T04:48:33.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T04:48:33.279Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T04:48:33.279Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T04:48:33.279Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T04:48:33.279Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T04:48:33.279Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (32413.598 ms) ======
[2025-07-16T04:48:33.279Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-07-16T04:48:34.050Z] GC before operation: completed in 194.588 ms, heap usage 267.804 MB -> 91.414 MB.
[2025-07-16T04:48:38.517Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T04:48:44.130Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T04:48:51.037Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T04:48:53.526Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T04:48:56.012Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T04:48:57.606Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T04:49:01.082Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T04:49:03.563Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T04:49:03.563Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-16T04:49:03.563Z] The best model improves the baseline by 14.43%.
[2025-07-16T04:49:03.563Z] Top recommended movies for user id 72:
[2025-07-16T04:49:03.563Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T04:49:03.563Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T04:49:03.563Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T04:49:03.563Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T04:49:03.563Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T04:49:03.563Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (30215.953 ms) ======
[2025-07-16T04:49:03.563Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-07-16T04:49:04.334Z] GC before operation: completed in 219.286 ms, heap usage 1.305 GB -> 96.416 MB.
[2025-07-16T04:49:07.768Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T04:49:11.221Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T04:49:16.862Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T04:49:19.372Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T04:49:21.863Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T04:49:24.343Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T04:49:26.915Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T04:49:29.400Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T04:49:29.400Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-16T04:49:29.400Z] The best model improves the baseline by 14.43%.
[2025-07-16T04:49:29.400Z] Top recommended movies for user id 72:
[2025-07-16T04:49:29.400Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T04:49:29.400Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T04:49:29.400Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T04:49:29.400Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T04:49:29.400Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T04:49:29.400Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (25379.691 ms) ======
[2025-07-16T04:49:29.400Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-07-16T04:49:29.400Z] GC before operation: completed in 207.190 ms, heap usage 116.483 MB -> 94.640 MB.
[2025-07-16T04:49:33.301Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T04:49:37.784Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T04:49:44.678Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T04:49:48.107Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T04:49:50.585Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T04:49:53.085Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T04:49:56.513Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T04:49:58.110Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T04:49:58.900Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-16T04:49:58.900Z] The best model improves the baseline by 14.43%.
[2025-07-16T04:49:58.900Z] Top recommended movies for user id 72:
[2025-07-16T04:49:58.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T04:49:58.900Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T04:49:58.900Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T04:49:58.900Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T04:49:58.900Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T04:49:58.900Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (29294.022 ms) ======
[2025-07-16T04:49:58.900Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-07-16T04:49:58.900Z] GC before operation: completed in 205.497 ms, heap usage 886.689 MB -> 95.411 MB.
[2025-07-16T04:50:03.374Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T04:50:07.856Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T04:50:13.472Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T04:50:16.907Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T04:50:19.403Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T04:50:21.004Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T04:50:23.479Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T04:50:25.972Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T04:50:25.972Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-16T04:50:25.972Z] The best model improves the baseline by 14.43%.
[2025-07-16T04:50:25.972Z] Top recommended movies for user id 72:
[2025-07-16T04:50:25.972Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T04:50:25.972Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T04:50:25.972Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T04:50:25.972Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T04:50:25.972Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T04:50:25.972Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (27130.342 ms) ======
[2025-07-16T04:50:27.567Z] -----------------------------------
[2025-07-16T04:50:27.567Z] renaissance-movie-lens_0_PASSED
[2025-07-16T04:50:27.567Z] -----------------------------------
[2025-07-16T04:50:27.567Z]
[2025-07-16T04:50:27.567Z] TEST TEARDOWN:
[2025-07-16T04:50:27.567Z] Nothing to be done for teardown.
[2025-07-16T04:50:27.567Z] renaissance-movie-lens_0 Finish Time: Wed Jul 16 04:50:26 2025 Epoch Time (ms): 1752641426761