renaissance-movie-lens_0
[2025-07-15T22:29:54.398Z] Running test renaissance-movie-lens_0 ...
[2025-07-15T22:29:54.398Z] ===============================================
[2025-07-15T22:29:54.398Z] renaissance-movie-lens_0 Start Time: Tue Jul 15 22:29:53 2025 Epoch Time (ms): 1752618593688
[2025-07-15T22:29:54.398Z] variation: NoOptions
[2025-07-15T22:29:54.398Z] JVM_OPTIONS:
[2025-07-15T22:29:54.398Z] { \
[2025-07-15T22:29:54.398Z] echo ""; echo "TEST SETUP:"; \
[2025-07-15T22:29:54.398Z] echo "Nothing to be done for setup."; \
[2025-07-15T22:29:54.398Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/../TKG/output_17526178884437/renaissance-movie-lens_0"; \
[2025-07-15T22:29:54.398Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/../TKG/output_17526178884437/renaissance-movie-lens_0"; \
[2025-07-15T22:29:54.398Z] echo ""; echo "TESTING:"; \
[2025-07-15T22:29:54.398Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/../TKG/output_17526178884437/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-07-15T22:29:54.398Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/../TKG/output_17526178884437/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-07-15T22:29:54.398Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-07-15T22:29:54.398Z] echo "Nothing to be done for teardown."; \
[2025-07-15T22:29:54.398Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/../TKG/output_17526178884437/TestTargetResult";
[2025-07-15T22:29:54.398Z]
[2025-07-15T22:29:54.398Z] TEST SETUP:
[2025-07-15T22:29:54.398Z] Nothing to be done for setup.
[2025-07-15T22:29:54.398Z]
[2025-07-15T22:29:54.398Z] TESTING:
[2025-07-15T22:30:01.289Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-07-15T22:30:11.289Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-07-15T22:30:12.059Z] Training: 60056, validation: 20285, test: 19854
[2025-07-15T22:30:12.059Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-07-15T22:30:12.059Z] GC before operation: completed in 128.090 ms, heap usage 425.385 MB -> 75.676 MB.
[2025-07-15T22:30:17.676Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:30:21.146Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:30:24.577Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:30:28.004Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:30:29.598Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:30:32.082Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:30:33.699Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:30:36.175Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:30:36.175Z] 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.
[2025-07-15T22:30:36.175Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:30:36.175Z] Top recommended movies for user id 72:
[2025-07-15T22:30:36.175Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:30:36.175Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:30:36.175Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:30:36.175Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:30:36.175Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:30:36.175Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24084.742 ms) ======
[2025-07-15T22:30:36.175Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-07-15T22:30:36.175Z] GC before operation: completed in 159.393 ms, heap usage 350.874 MB -> 91.106 MB.
[2025-07-15T22:30:39.619Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:30:43.052Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:30:46.491Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:30:48.970Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:30:50.564Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:30:52.156Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:30:54.635Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:30:56.236Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:30:56.236Z] 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.
[2025-07-15T22:30:56.236Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:30:56.236Z] Top recommended movies for user id 72:
[2025-07-15T22:30:56.236Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:30:56.236Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:30:56.236Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:30:56.236Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:30:56.236Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:30:56.236Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19930.517 ms) ======
[2025-07-15T22:30:56.236Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-07-15T22:30:56.236Z] GC before operation: completed in 170.527 ms, heap usage 3.017 GB -> 96.334 MB.
[2025-07-15T22:30:59.668Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:31:03.147Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:31:05.622Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:31:09.050Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:31:10.642Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:31:12.235Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:31:13.833Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:31:15.426Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:31:15.426Z] 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.
[2025-07-15T22:31:16.196Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:31:16.196Z] Top recommended movies for user id 72:
[2025-07-15T22:31:16.196Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:31:16.196Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:31:16.196Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:31:16.196Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:31:16.196Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:31:16.196Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19442.278 ms) ======
[2025-07-15T22:31:16.196Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-07-15T22:31:16.196Z] GC before operation: completed in 169.816 ms, heap usage 1.683 GB -> 96.396 MB.
[2025-07-15T22:31:19.639Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:31:22.128Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:31:25.584Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:31:28.065Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:31:29.668Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:31:31.260Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:31:32.855Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:31:34.448Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:31:34.448Z] 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.
[2025-07-15T22:31:35.224Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:31:35.224Z] Top recommended movies for user id 72:
[2025-07-15T22:31:35.224Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:31:35.224Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:31:35.224Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:31:35.224Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:31:35.224Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:31:35.224Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18865.036 ms) ======
[2025-07-15T22:31:35.224Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-07-15T22:31:35.224Z] GC before operation: completed in 168.009 ms, heap usage 2.237 GB -> 102.104 MB.
[2025-07-15T22:31:38.659Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:31:41.187Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:31:44.631Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:31:47.121Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:31:48.720Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:31:50.310Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:31:51.916Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:31:53.516Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:31:53.516Z] 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.
[2025-07-15T22:31:53.516Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:31:54.286Z] Top recommended movies for user id 72:
[2025-07-15T22:31:54.286Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:31:54.286Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:31:54.286Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:31:54.286Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:31:54.286Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:31:54.286Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18804.009 ms) ======
[2025-07-15T22:31:54.286Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-07-15T22:31:54.286Z] GC before operation: completed in 172.548 ms, heap usage 1.528 GB -> 100.718 MB.
[2025-07-15T22:31:56.759Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:32:00.194Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:32:02.664Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:32:05.141Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:32:07.629Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:32:09.229Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:32:10.828Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:32:12.420Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:32:12.420Z] 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.
[2025-07-15T22:32:12.420Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:32:12.420Z] Top recommended movies for user id 72:
[2025-07-15T22:32:12.420Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:32:12.420Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:32:12.420Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:32:12.420Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:32:12.420Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:32:12.420Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18474.206 ms) ======
[2025-07-15T22:32:12.420Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-07-15T22:32:13.189Z] GC before operation: completed in 173.463 ms, heap usage 333.983 MB -> 93.746 MB.
[2025-07-15T22:32:15.664Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:32:18.138Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:32:21.560Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:32:24.031Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:32:25.623Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:32:27.222Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:32:28.818Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:32:30.414Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:32:31.184Z] 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.
[2025-07-15T22:32:31.184Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:32:31.184Z] Top recommended movies for user id 72:
[2025-07-15T22:32:31.184Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:32:31.184Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:32:31.184Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:32:31.184Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:32:31.184Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:32:31.184Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18233.857 ms) ======
[2025-07-15T22:32:31.184Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-07-15T22:32:31.184Z] GC before operation: completed in 166.730 ms, heap usage 426.475 MB -> 94.736 MB.
[2025-07-15T22:32:34.615Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:32:37.096Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:32:40.531Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:32:43.005Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:32:44.596Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:32:46.196Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:32:47.801Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:32:49.416Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:32:49.416Z] 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.
[2025-07-15T22:32:49.416Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:32:49.416Z] Top recommended movies for user id 72:
[2025-07-15T22:32:49.416Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:32:49.416Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:32:49.416Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:32:49.416Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:32:49.416Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:32:49.416Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18415.728 ms) ======
[2025-07-15T22:32:49.416Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-07-15T22:32:50.187Z] GC before operation: completed in 173.453 ms, heap usage 635.708 MB -> 96.891 MB.
[2025-07-15T22:32:52.684Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:32:55.168Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:32:58.601Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:33:01.084Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:33:02.696Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:33:04.288Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:33:05.924Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:33:07.521Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:33:08.300Z] 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.
[2025-07-15T22:33:08.300Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:33:08.300Z] Top recommended movies for user id 72:
[2025-07-15T22:33:08.300Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:33:08.300Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:33:08.300Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:33:08.300Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:33:08.300Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:33:08.300Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18515.548 ms) ======
[2025-07-15T22:33:08.300Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-07-15T22:33:08.300Z] GC before operation: completed in 167.631 ms, heap usage 202.078 MB -> 94.903 MB.
[2025-07-15T22:33:10.961Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:33:14.393Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:33:16.869Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:33:20.314Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:33:21.904Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:33:23.504Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:33:25.113Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:33:26.741Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:33:26.741Z] 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.
[2025-07-15T22:33:26.741Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:33:26.741Z] Top recommended movies for user id 72:
[2025-07-15T22:33:26.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:33:26.741Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:33:26.741Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:33:26.741Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:33:26.741Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:33:26.741Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18531.076 ms) ======
[2025-07-15T22:33:26.741Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-07-15T22:33:27.511Z] GC before operation: completed in 164.299 ms, heap usage 268.504 MB -> 93.601 MB.
[2025-07-15T22:33:29.986Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:33:32.459Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:33:35.895Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:33:38.372Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:33:39.967Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:33:41.558Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:33:44.044Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:33:45.649Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:33:45.649Z] 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.
[2025-07-15T22:33:45.649Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:33:45.649Z] Top recommended movies for user id 72:
[2025-07-15T22:33:45.649Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:33:45.649Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:33:45.649Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:33:45.649Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:33:45.649Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:33:45.649Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18621.154 ms) ======
[2025-07-15T22:33:45.649Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-07-15T22:33:45.649Z] GC before operation: completed in 171.214 ms, heap usage 2.241 GB -> 100.666 MB.
[2025-07-15T22:33:49.088Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:33:51.561Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:33:54.990Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:33:57.485Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:33:59.077Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:34:01.554Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:34:03.148Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:34:04.741Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:34:04.741Z] 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.
[2025-07-15T22:34:04.741Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:34:04.741Z] Top recommended movies for user id 72:
[2025-07-15T22:34:04.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:34:04.741Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:34:04.741Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:34:04.741Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:34:04.741Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:34:04.741Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18948.116 ms) ======
[2025-07-15T22:34:04.741Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-07-15T22:34:04.741Z] GC before operation: completed in 159.078 ms, heap usage 2.255 GB -> 101.832 MB.
[2025-07-15T22:34:08.172Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:34:10.653Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:34:14.085Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:34:17.512Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:34:19.103Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:34:20.692Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:34:22.292Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:34:23.890Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:34:24.665Z] 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.
[2025-07-15T22:34:24.665Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:34:24.665Z] Top recommended movies for user id 72:
[2025-07-15T22:34:24.665Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:34:24.665Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:34:24.665Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:34:24.665Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:34:24.665Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:34:24.665Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19468.706 ms) ======
[2025-07-15T22:34:24.665Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-07-15T22:34:24.665Z] GC before operation: completed in 166.139 ms, heap usage 2.297 GB -> 102.267 MB.
[2025-07-15T22:34:28.225Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:34:30.026Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:34:33.452Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:34:35.941Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:34:38.414Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:34:40.010Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:34:41.643Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:34:43.245Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:34:43.245Z] 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.
[2025-07-15T22:34:43.245Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:34:43.245Z] Top recommended movies for user id 72:
[2025-07-15T22:34:43.245Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:34:43.245Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:34:43.245Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:34:43.245Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:34:43.245Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:34:43.245Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18728.709 ms) ======
[2025-07-15T22:34:43.245Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-07-15T22:34:44.014Z] GC before operation: completed in 166.893 ms, heap usage 1.475 GB -> 98.945 MB.
[2025-07-15T22:34:46.494Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:34:48.983Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:34:52.409Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:34:54.887Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:34:57.430Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:34:59.021Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:35:00.615Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:35:02.206Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:35:02.206Z] 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.
[2025-07-15T22:35:02.206Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:35:02.976Z] Top recommended movies for user id 72:
[2025-07-15T22:35:02.976Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:35:02.976Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:35:02.976Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:35:02.976Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:35:02.976Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:35:02.976Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19139.302 ms) ======
[2025-07-15T22:35:02.976Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-07-15T22:35:02.976Z] GC before operation: completed in 167.243 ms, heap usage 304.533 MB -> 91.716 MB.
[2025-07-15T22:35:05.448Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:35:08.872Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:35:12.305Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:35:14.777Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:35:16.376Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:35:17.967Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:35:19.566Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:35:21.162Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:35:21.162Z] 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.
[2025-07-15T22:35:21.935Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:35:21.935Z] Top recommended movies for user id 72:
[2025-07-15T22:35:21.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:35:21.935Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:35:21.935Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:35:21.935Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:35:21.935Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:35:21.935Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18769.295 ms) ======
[2025-07-15T22:35:21.935Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-07-15T22:35:21.935Z] GC before operation: completed in 170.056 ms, heap usage 2.558 GB -> 99.833 MB.
[2025-07-15T22:35:24.412Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:35:27.853Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:35:30.325Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:35:33.751Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:35:35.346Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:35:36.941Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:35:38.532Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:35:40.125Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:35:40.900Z] 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.
[2025-07-15T22:35:40.900Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:35:40.900Z] Top recommended movies for user id 72:
[2025-07-15T22:35:40.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:35:40.900Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:35:40.900Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:35:40.900Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:35:40.900Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:35:40.900Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18951.856 ms) ======
[2025-07-15T22:35:40.900Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-07-15T22:35:40.900Z] GC before operation: completed in 166.712 ms, heap usage 127.305 MB -> 92.210 MB.
[2025-07-15T22:35:44.321Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:35:46.823Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:35:50.268Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:35:52.749Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:35:54.351Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:35:55.943Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:35:57.545Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:36:00.032Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:36:00.032Z] 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.
[2025-07-15T22:36:00.032Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:36:00.032Z] Top recommended movies for user id 72:
[2025-07-15T22:36:00.032Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:36:00.032Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:36:00.032Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:36:00.033Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:36:00.033Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:36:00.033Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19079.803 ms) ======
[2025-07-15T22:36:00.033Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-07-15T22:36:00.033Z] GC before operation: completed in 153.490 ms, heap usage 424.832 MB -> 91.547 MB.
[2025-07-15T22:36:03.468Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:36:06.000Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:36:09.469Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:36:11.953Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:36:13.546Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:36:15.144Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:36:16.734Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:36:18.348Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:36:18.349Z] 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.
[2025-07-15T22:36:18.349Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:36:18.349Z] Top recommended movies for user id 72:
[2025-07-15T22:36:18.349Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:36:18.349Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:36:18.349Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:36:18.349Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:36:18.349Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:36:18.349Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18275.408 ms) ======
[2025-07-15T22:36:18.349Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-07-15T22:36:18.349Z] GC before operation: completed in 161.083 ms, heap usage 2.504 GB -> 101.264 MB.
[2025-07-15T22:36:21.778Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:36:24.251Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:36:27.687Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:36:30.158Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:36:31.749Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:36:33.353Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:36:34.951Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:36:36.548Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:36:37.321Z] 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.
[2025-07-15T22:36:37.321Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:36:37.321Z] Top recommended movies for user id 72:
[2025-07-15T22:36:37.321Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:36:37.321Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:36:37.321Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:36:37.321Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:36:37.321Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:36:37.321Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18564.834 ms) ======
[2025-07-15T22:36:38.097Z] -----------------------------------
[2025-07-15T22:36:38.097Z] renaissance-movie-lens_0_PASSED
[2025-07-15T22:36:38.097Z] -----------------------------------
[2025-07-15T22:36:38.097Z]
[2025-07-15T22:36:38.097Z] TEST TEARDOWN:
[2025-07-15T22:36:38.097Z] Nothing to be done for teardown.
[2025-07-15T22:36:38.097Z] renaissance-movie-lens_0 Finish Time: Tue Jul 15 22:36:37 2025 Epoch Time (ms): 1752618997357