[2025-05-29T00:34:55.489Z] Running test renaissance-movie-lens_0 ... [2025-05-29T00:34:55.489Z] =============================================== [2025-05-29T00:34:55.489Z] renaissance-movie-lens_0 Start Time: Thu May 29 00:34:55 2025 Epoch Time (ms): 1748478895227 [2025-05-29T00:34:55.489Z] variation: NoOptions [2025-05-29T00:34:55.489Z] JVM_OPTIONS: [2025-05-29T00:34:55.489Z] { \ [2025-05-29T00:34:55.489Z] echo ""; echo "TEST SETUP:"; \ [2025-05-29T00:34:55.489Z] echo "Nothing to be done for setup."; \ [2025-05-29T00:34:55.489Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17484765317872/renaissance-movie-lens_0"; \ [2025-05-29T00:34:55.489Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17484765317872/renaissance-movie-lens_0"; \ [2025-05-29T00:34:55.489Z] echo ""; echo "TESTING:"; \ [2025-05-29T00:34:55.489Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17484765317872/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-29T00:34:55.489Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17484765317872/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-29T00:34:55.489Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-29T00:34:55.489Z] echo "Nothing to be done for teardown."; \ [2025-05-29T00:34:55.489Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17484765317872/TestTargetResult"; [2025-05-29T00:34:55.489Z] [2025-05-29T00:34:55.489Z] TEST SETUP: [2025-05-29T00:34:55.489Z] Nothing to be done for setup. [2025-05-29T00:34:55.489Z] [2025-05-29T00:34:55.489Z] TESTING: [2025-05-29T00:35:01.391Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-05-29T00:35:10.219Z] 00:35:09.317 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-05-29T00:35:13.972Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-29T00:35:14.668Z] Training: 60056, validation: 20285, test: 19854 [2025-05-29T00:35:14.668Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-29T00:35:14.668Z] GC before operation: completed in 152.832 ms, heap usage 285.411 MB -> 75.288 MB. [2025-05-29T00:35:25.425Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T00:35:31.269Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T00:35:36.021Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T00:35:40.734Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T00:35:43.660Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T00:35:45.893Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T00:35:48.846Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T00:35:51.074Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T00:35:51.397Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-29T00:35:51.397Z] The best model improves the baseline by 14.34%. [2025-05-29T00:35:51.720Z] Top recommended movies for user id 72: [2025-05-29T00:35:51.720Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-29T00:35:51.720Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-29T00:35:51.720Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-29T00:35:51.720Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-29T00:35:51.720Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-29T00:35:51.720Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (37113.128 ms) ====== [2025-05-29T00:35:51.720Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-29T00:35:52.042Z] GC before operation: completed in 198.620 ms, heap usage 145.815 MB -> 90.619 MB. [2025-05-29T00:35:55.782Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T00:35:59.528Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T00:36:03.264Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T00:36:06.181Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T00:36:08.408Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T00:36:10.641Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T00:36:12.270Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T00:36:14.492Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T00:36:14.814Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-29T00:36:14.814Z] The best model improves the baseline by 14.34%. [2025-05-29T00:36:14.814Z] Top recommended movies for user id 72: [2025-05-29T00:36:14.814Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-29T00:36:14.814Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-29T00:36:14.814Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-29T00:36:14.814Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-29T00:36:14.814Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-29T00:36:14.814Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23011.414 ms) ====== [2025-05-29T00:36:14.814Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-29T00:36:15.137Z] GC before operation: completed in 165.301 ms, heap usage 444.446 MB -> 87.906 MB. [2025-05-29T00:36:18.880Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T00:36:21.808Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T00:36:25.538Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T00:36:28.467Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T00:36:30.097Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T00:36:32.322Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T00:36:33.984Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T00:36:36.215Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T00:36:36.215Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-29T00:36:36.215Z] The best model improves the baseline by 14.34%. [2025-05-29T00:36:36.540Z] Top recommended movies for user id 72: [2025-05-29T00:36:36.540Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-29T00:36:36.540Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-29T00:36:36.540Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-29T00:36:36.540Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-29T00:36:36.540Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-29T00:36:36.540Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21381.339 ms) ====== [2025-05-29T00:36:36.540Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-29T00:36:36.540Z] GC before operation: completed in 155.750 ms, heap usage 247.602 MB -> 88.215 MB. [2025-05-29T00:36:40.278Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T00:36:43.197Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T00:36:47.015Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T00:36:49.286Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T00:36:51.510Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T00:36:53.145Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T00:36:54.779Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T00:36:56.998Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T00:36:56.998Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-29T00:36:56.998Z] The best model improves the baseline by 14.34%. [2025-05-29T00:36:57.320Z] Top recommended movies for user id 72: [2025-05-29T00:36:57.320Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-29T00:36:57.320Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-29T00:36:57.320Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-29T00:36:57.320Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-29T00:36:57.320Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-29T00:36:57.320Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20570.258 ms) ====== [2025-05-29T00:36:57.320Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-29T00:36:57.320Z] GC before operation: completed in 166.274 ms, heap usage 175.449 MB -> 88.434 MB. [2025-05-29T00:37:00.269Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T00:37:04.002Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T00:37:06.929Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T00:37:09.850Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T00:37:11.487Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T00:37:13.206Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T00:37:15.434Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T00:37:17.067Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T00:37:17.391Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-29T00:37:17.391Z] The best model improves the baseline by 14.34%. [2025-05-29T00:37:17.391Z] Top recommended movies for user id 72: [2025-05-29T00:37:17.391Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-29T00:37:17.391Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-29T00:37:17.391Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-29T00:37:17.391Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-29T00:37:17.391Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-29T00:37:17.391Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20152.127 ms) ====== [2025-05-29T00:37:17.391Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-29T00:37:17.714Z] GC before operation: completed in 159.623 ms, heap usage 514.651 MB -> 92.163 MB. [2025-05-29T00:37:20.642Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T00:37:24.413Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T00:37:27.334Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T00:37:30.257Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T00:37:31.891Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T00:37:34.117Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T00:37:35.750Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T00:37:37.411Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T00:37:37.734Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-29T00:37:38.058Z] The best model improves the baseline by 14.34%. [2025-05-29T00:37:38.058Z] Top recommended movies for user id 72: [2025-05-29T00:37:38.058Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-29T00:37:38.058Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-29T00:37:38.058Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-29T00:37:38.058Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-29T00:37:38.058Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-29T00:37:38.058Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20375.099 ms) ====== [2025-05-29T00:37:38.058Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-29T00:37:38.383Z] GC before operation: completed in 164.049 ms, heap usage 366.923 MB -> 89.026 MB. [2025-05-29T00:37:41.323Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T00:37:44.238Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T00:37:47.984Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T00:37:50.904Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T00:37:53.138Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T00:37:54.773Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T00:37:56.415Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T00:37:58.639Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T00:37:58.639Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-29T00:37:58.639Z] The best model improves the baseline by 14.34%. [2025-05-29T00:37:58.962Z] Top recommended movies for user id 72: [2025-05-29T00:37:58.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-29T00:37:58.962Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-29T00:37:58.962Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-29T00:37:58.962Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-29T00:37:58.962Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-29T00:37:58.962Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20641.857 ms) ====== [2025-05-29T00:37:58.962Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-29T00:37:58.962Z] GC before operation: completed in 186.459 ms, heap usage 184.712 MB -> 88.608 MB. [2025-05-29T00:38:01.878Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T00:38:04.795Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T00:38:08.539Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T00:38:10.757Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T00:38:12.986Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T00:38:14.618Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T00:38:16.841Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T00:38:18.472Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T00:38:18.472Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-29T00:38:18.472Z] The best model improves the baseline by 14.34%. [2025-05-29T00:38:18.795Z] Top recommended movies for user id 72: [2025-05-29T00:38:18.795Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-29T00:38:18.795Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-29T00:38:18.795Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-29T00:38:18.795Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-29T00:38:18.795Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-29T00:38:18.795Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19600.640 ms) ====== [2025-05-29T00:38:18.795Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-29T00:38:18.795Z] GC before operation: completed in 157.779 ms, heap usage 607.420 MB -> 92.825 MB. [2025-05-29T00:38:21.715Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T00:38:24.635Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T00:38:28.370Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T00:38:30.589Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T00:38:32.217Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T00:38:34.513Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T00:38:36.159Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T00:38:37.798Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T00:38:38.131Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-29T00:38:38.131Z] The best model improves the baseline by 14.34%. [2025-05-29T00:38:38.455Z] Top recommended movies for user id 72: [2025-05-29T00:38:38.455Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-29T00:38:38.455Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-29T00:38:38.455Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-29T00:38:38.455Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-29T00:38:38.455Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-29T00:38:38.455Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19481.529 ms) ====== [2025-05-29T00:38:38.455Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-29T00:38:38.455Z] GC before operation: completed in 162.178 ms, heap usage 321.733 MB -> 90.157 MB. [2025-05-29T00:38:42.202Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T00:38:44.427Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T00:38:48.167Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T00:38:50.395Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T00:38:52.028Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T00:38:53.669Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T00:38:55.892Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T00:38:57.526Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T00:38:57.526Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-29T00:38:57.526Z] The best model improves the baseline by 14.34%. [2025-05-29T00:38:57.849Z] Top recommended movies for user id 72: [2025-05-29T00:38:57.849Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-29T00:38:57.849Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-29T00:38:57.849Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-29T00:38:57.849Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-29T00:38:57.849Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-29T00:38:57.849Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19330.723 ms) ====== [2025-05-29T00:38:57.849Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-29T00:38:57.849Z] GC before operation: completed in 159.752 ms, heap usage 455.948 MB -> 92.583 MB. [2025-05-29T00:39:00.859Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T00:39:03.799Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T00:39:06.721Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T00:39:09.650Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T00:39:11.284Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T00:39:12.928Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T00:39:15.153Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T00:39:16.788Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T00:39:16.788Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-29T00:39:16.788Z] The best model improves the baseline by 14.34%. [2025-05-29T00:39:17.113Z] Top recommended movies for user id 72: [2025-05-29T00:39:17.113Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-29T00:39:17.113Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-29T00:39:17.113Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-29T00:39:17.113Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-29T00:39:17.113Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-29T00:39:17.113Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18994.213 ms) ====== [2025-05-29T00:39:17.113Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-29T00:39:17.113Z] GC before operation: completed in 155.924 ms, heap usage 578.090 MB -> 92.546 MB. [2025-05-29T00:39:20.039Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T00:39:22.958Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T00:39:26.702Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T00:39:28.991Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T00:39:30.631Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T00:39:32.271Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T00:39:34.499Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T00:39:36.130Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T00:39:36.130Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-29T00:39:36.130Z] The best model improves the baseline by 14.34%. [2025-05-29T00:39:36.455Z] Top recommended movies for user id 72: [2025-05-29T00:39:36.455Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-29T00:39:36.455Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-29T00:39:36.455Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-29T00:39:36.455Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-29T00:39:36.455Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-29T00:39:36.455Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19249.938 ms) ====== [2025-05-29T00:39:36.455Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-29T00:39:36.455Z] GC before operation: completed in 156.458 ms, heap usage 314.576 MB -> 89.167 MB. [2025-05-29T00:39:39.372Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T00:39:42.292Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T00:39:45.221Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T00:39:48.144Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T00:39:49.805Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T00:39:51.438Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T00:39:53.075Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T00:39:54.725Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T00:39:55.047Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-29T00:39:55.047Z] The best model improves the baseline by 14.34%. [2025-05-29T00:39:55.376Z] Top recommended movies for user id 72: [2025-05-29T00:39:55.376Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-29T00:39:55.376Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-29T00:39:55.376Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-29T00:39:55.376Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-29T00:39:55.376Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-29T00:39:55.377Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18739.589 ms) ====== [2025-05-29T00:39:55.377Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-29T00:39:55.377Z] GC before operation: completed in 149.441 ms, heap usage 208.018 MB -> 89.051 MB. [2025-05-29T00:39:58.298Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T00:40:01.222Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T00:40:04.144Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T00:40:07.065Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T00:40:08.699Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T00:40:10.329Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T00:40:12.552Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T00:40:13.681Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T00:40:14.378Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-29T00:40:14.378Z] The best model improves the baseline by 14.34%. [2025-05-29T00:40:14.378Z] Top recommended movies for user id 72: [2025-05-29T00:40:14.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-29T00:40:14.378Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-29T00:40:14.378Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-29T00:40:14.378Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-29T00:40:14.378Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-29T00:40:14.378Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18923.548 ms) ====== [2025-05-29T00:40:14.378Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-29T00:40:14.378Z] GC before operation: completed in 161.768 ms, heap usage 798.192 MB -> 93.760 MB. [2025-05-29T00:40:17.294Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T00:40:20.210Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T00:40:23.133Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T00:40:26.048Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T00:40:27.675Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T00:40:29.306Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T00:40:31.529Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T00:40:32.662Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T00:40:32.986Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-29T00:40:32.986Z] The best model improves the baseline by 14.34%. [2025-05-29T00:40:33.310Z] Top recommended movies for user id 72: [2025-05-29T00:40:33.310Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-29T00:40:33.310Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-29T00:40:33.310Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-29T00:40:33.310Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-29T00:40:33.310Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-29T00:40:33.310Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18720.768 ms) ====== [2025-05-29T00:40:33.310Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-29T00:40:33.310Z] GC before operation: completed in 155.128 ms, heap usage 429.334 MB -> 89.474 MB. [2025-05-29T00:40:36.248Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T00:40:39.175Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T00:40:42.098Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T00:40:45.022Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T00:40:46.660Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T00:40:48.379Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T00:40:50.018Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T00:40:51.656Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T00:40:51.979Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-29T00:40:51.979Z] The best model improves the baseline by 14.34%. [2025-05-29T00:40:52.302Z] Top recommended movies for user id 72: [2025-05-29T00:40:52.302Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-29T00:40:52.302Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-29T00:40:52.303Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-29T00:40:52.303Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-29T00:40:52.303Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-29T00:40:52.303Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18791.242 ms) ====== [2025-05-29T00:40:52.303Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-29T00:40:52.303Z] GC before operation: completed in 153.459 ms, heap usage 226.134 MB -> 89.026 MB. [2025-05-29T00:40:55.227Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T00:40:58.149Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T00:41:01.073Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T00:41:03.995Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T00:41:05.640Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T00:41:07.274Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T00:41:09.504Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T00:41:11.144Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T00:41:11.469Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-29T00:41:11.469Z] The best model improves the baseline by 14.34%. [2025-05-29T00:41:11.469Z] Top recommended movies for user id 72: [2025-05-29T00:41:11.469Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-29T00:41:11.469Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-29T00:41:11.469Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-29T00:41:11.469Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-29T00:41:11.469Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-29T00:41:11.469Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19155.817 ms) ====== [2025-05-29T00:41:11.469Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-29T00:41:11.793Z] GC before operation: completed in 152.646 ms, heap usage 113.188 MB -> 88.932 MB. [2025-05-29T00:41:14.796Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T00:41:17.024Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T00:41:20.802Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T00:41:23.028Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T00:41:24.661Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T00:41:26.326Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T00:41:28.552Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T00:41:30.202Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T00:41:30.202Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-29T00:41:30.202Z] The best model improves the baseline by 14.34%. [2025-05-29T00:41:30.523Z] Top recommended movies for user id 72: [2025-05-29T00:41:30.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-29T00:41:30.523Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-29T00:41:30.523Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-29T00:41:30.523Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-29T00:41:30.523Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-29T00:41:30.523Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18774.400 ms) ====== [2025-05-29T00:41:30.523Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-29T00:41:30.523Z] GC before operation: completed in 153.323 ms, heap usage 253.019 MB -> 89.004 MB. [2025-05-29T00:41:33.443Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T00:41:36.364Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T00:41:39.282Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T00:41:41.596Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T00:41:43.228Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T00:41:44.864Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T00:41:47.084Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T00:41:48.262Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T00:41:48.584Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-29T00:41:48.584Z] The best model improves the baseline by 14.34%. [2025-05-29T00:41:48.907Z] Top recommended movies for user id 72: [2025-05-29T00:41:48.907Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-29T00:41:48.907Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-29T00:41:48.907Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-29T00:41:48.907Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-29T00:41:48.907Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-29T00:41:48.907Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18192.185 ms) ====== [2025-05-29T00:41:48.907Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-29T00:41:48.907Z] GC before operation: completed in 154.826 ms, heap usage 450.191 MB -> 89.424 MB. [2025-05-29T00:41:51.825Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T00:41:54.744Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T00:41:57.660Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T00:41:59.882Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T00:42:01.511Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T00:42:03.142Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T00:42:05.386Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T00:42:07.017Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T00:42:07.017Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-29T00:42:07.017Z] The best model improves the baseline by 14.34%. [2025-05-29T00:42:07.339Z] Top recommended movies for user id 72: [2025-05-29T00:42:07.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-29T00:42:07.339Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-29T00:42:07.339Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-29T00:42:07.339Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-29T00:42:07.339Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-29T00:42:07.339Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18313.187 ms) ====== [2025-05-29T00:42:07.672Z] ----------------------------------- [2025-05-29T00:42:07.672Z] renaissance-movie-lens_0_PASSED [2025-05-29T00:42:07.672Z] ----------------------------------- [2025-05-29T00:42:07.672Z] [2025-05-29T00:42:07.672Z] TEST TEARDOWN: [2025-05-29T00:42:07.672Z] Nothing to be done for teardown. [2025-05-29T00:42:07.672Z] renaissance-movie-lens_0 Finish Time: Thu May 29 00:42:07 2025 Epoch Time (ms): 1748479327600