OpenML
Supervised Classification on fri_c0_500_5

Supervised Classification on fri_c0_500_5

Task 3747 Supervised Classification fri_c0_500_5 564 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

564 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, build_cpu_time: 0.0012, build_memory: 262200744, f_measure: 0.68, kappa: 0.36, kb_relative_information_score: 179.9926, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.68, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1314, scimark_benchmark: 946.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, build_cpu_time: 0.0013, build_memory: 564190108.8, f_measure: 0.68, kappa: 0.36, kb_relative_information_score: 179.9926, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.68, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1314, scimark_benchmark: 947.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, build_cpu_time: 0.0268, build_memory: 19817929.6, f_measure: 0.8259, kappa: 0.6519, kb_relative_information_score: 299.2206, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8268, predictive_accuracy: 0.826, prior_entropy: 1, recall: 0.826, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8006, scimark_benchmark: 929.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, build_cpu_time: 0.0053, build_memory: 194105593.6, f_measure: 0.8259, kappa: 0.6519, kb_relative_information_score: 299.2206, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8268, predictive_accuracy: 0.826, prior_entropy: 1, recall: 0.826, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8006, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, build_cpu_time: 0.0001, build_memory: 810959544, f_measure: 0.4022, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.49, predictive_accuracy: 0.498, prior_entropy: 1, recall: 0.498, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, build_cpu_time: 0.0001, build_memory: 161371432, f_measure: 0.4022, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.49, predictive_accuracy: 0.498, prior_entropy: 1, recall: 0.498, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, build_cpu_time: 0.0001, build_memory: 469992449.6, f_measure: 0.4022, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.49, predictive_accuracy: 0.498, prior_entropy: 1, recall: 0.498, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, build_cpu_time: 0.0001, build_memory: 514141360, f_measure: 0.4022, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.49, predictive_accuracy: 0.498, prior_entropy: 1, recall: 0.498, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, build_cpu_time: 0.0189, build_memory: 274224798.4, f_measure: 0.7188, kappa: 0.4609, kb_relative_information_score: 229.9938, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.7752, predictive_accuracy: 0.73, prior_entropy: 1, recall: 0.73, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0392, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, build_cpu_time: 0.2084, build_memory: 588932270.4, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 324.0343, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7746, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, build_cpu_time: 0.0965, build_memory: 433385437.6, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 331.3403, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.83, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7709, scimark_benchmark: 941.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, build_cpu_time: 0.1382, build_memory: 960790325.6, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 331.3403, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.83, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7709, scimark_benchmark: 934.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, build_cpu_time: 0.0834, build_memory: 346028880, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 331.3403, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.83, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7709, scimark_benchmark: 928.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, build_cpu_time: 0.0812, build_memory: 479128076.8, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 331.3403, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.83, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7709, scimark_benchmark: 904.5738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, build_cpu_time: 0.1771, build_memory: 417327724.8, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 329.8687, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8301, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.3418, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7698, scimark_benchmark: 927.4148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, build_cpu_time: 0.2782, build_memory: 471034988, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 328.1663, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8301, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.769, scimark_benchmark: 927.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, build_cpu_time: 0.6208, build_memory: 649612219.2, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 328.379, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8322, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7684, scimark_benchmark: 947.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, build_cpu_time: 1.3368, build_memory: 565787250.4, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 327.3224, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8322, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7695, scimark_benchmark: 944.2422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, build_cpu_time: 0.2315, build_memory: 783359159.2, f_measure: 0.866, kappa: 0.732, kb_relative_information_score: 279.8448, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8661, predictive_accuracy: 0.866, prior_entropy: 1, recall: 0.866, relative_absolute_error: 0.4733, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6459, scimark_benchmark: 941.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, build_cpu_time: 0.1803, build_memory: 994494824, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 280.034, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8563, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6473, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, build_cpu_time: 0.0717, build_memory: 1071224668.8, f_measure: 0.85, kappa: 0.7, kb_relative_information_score: 280.0172, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 1, recall: 0.85, relative_absolute_error: 0.471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.325, root_relative_squared_error: 0.65, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, build_cpu_time: 0.0385, build_memory: 1108213200.8, f_measure: 0.858, kappa: 0.716, kb_relative_information_score: 282.3987, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8583, predictive_accuracy: 0.858, prior_entropy: 1, recall: 0.858, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6518, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, build_cpu_time: 0.0206, build_memory: 955225825.6, f_measure: 0.844, kappa: 0.688, kb_relative_information_score: 296.7273, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8442, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6621, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, build_cpu_time: 0.1451, build_memory: 374474006.4, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 298.9262, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.6273, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, build_cpu_time: 14.2463, build_memory: 1878689668.8, f_measure: 0.866, kappa: 0.732, kb_relative_information_score: 293.4123, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8661, predictive_accuracy: 0.866, prior_entropy: 1, recall: 0.866, relative_absolute_error: 0.4437, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6163, scimark_benchmark: 910.0739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, build_cpu_time: 6.8788, build_memory: 1328681314.4, f_measure: 0.862, kappa: 0.724, kb_relative_information_score: 293.3518, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.862, predictive_accuracy: 0.862, prior_entropy: 1, recall: 0.862, relative_absolute_error: 0.4437, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6166, scimark_benchmark: 898.6863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, build_cpu_time: 1.6262, build_memory: 797759971.2, f_measure: 0.866, kappa: 0.732, kb_relative_information_score: 292.9379, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.866, predictive_accuracy: 0.866, prior_entropy: 1, recall: 0.866, relative_absolute_error: 0.4435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6221, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, build_cpu_time: 0.0102, build_memory: 268310071.2, f_measure: 0.7031, kappa: 0.4083, kb_relative_information_score: 157.0618, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.7067, predictive_accuracy: 0.704, prior_entropy: 1, recall: 0.704, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.8825, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, build_cpu_time: 0.901, build_memory: 1180592503.2, f_measure: 0.872, kappa: 0.744, kb_relative_information_score: 300.054, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8721, predictive_accuracy: 0.872, prior_entropy: 1, recall: 0.872, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.5953, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, build_cpu_time: 0.0201, build_memory: 340183754.4, f_measure: 0.7299, kappa: 0.4601, kb_relative_information_score: 162.87, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.7305, predictive_accuracy: 0.73, prior_entropy: 1, recall: 0.73, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8608, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, build_cpu_time: 0.0236, build_memory: 664153123.2, f_measure: 0.732, kappa: 0.464, kb_relative_information_score: 165.2744, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.7322, predictive_accuracy: 0.732, prior_entropy: 1, recall: 0.732, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8611, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, build_cpu_time: 0.3453, build_memory: 980394868.8, f_measure: 0.888, kappa: 0.776, kb_relative_information_score: 302.9591, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 1, recall: 0.888, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.5935, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, build_cpu_time: 0.082, build_memory: 905306351.2, f_measure: 0.718, kappa: 0.436, kb_relative_information_score: 161.9503, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.718, predictive_accuracy: 0.718, prior_entropy: 1, recall: 0.718, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8569, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, build_cpu_time: 0.0747, build_memory: 807628780.8, f_measure: 0.718, kappa: 0.436, kb_relative_information_score: 161.9503, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.718, predictive_accuracy: 0.718, prior_entropy: 1, recall: 0.718, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8569, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, build_cpu_time: 0.0763, build_memory: 688900668.8, f_measure: 0.718, kappa: 0.436, kb_relative_information_score: 161.9503, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.718, predictive_accuracy: 0.718, prior_entropy: 1, recall: 0.718, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8569, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, build_cpu_time: 0.0575, build_memory: 277757287.2, f_measure: 0.882, kappa: 0.764, kb_relative_information_score: 302.4885, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.882, predictive_accuracy: 0.882, prior_entropy: 1, recall: 0.882, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6114, scimark_benchmark: 928.4508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, build_cpu_time: 0.0762, build_memory: 1078546261.6, f_measure: 0.824, kappa: 0.648, kb_relative_information_score: 239.6796, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8241, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.6848, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, build_cpu_time: 0.0238, build_memory: 180245560, f_measure: 0.874, kappa: 0.748, kb_relative_information_score: 343.7309, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.874, predictive_accuracy: 0.874, prior_entropy: 1, recall: 0.874, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5822, scimark_benchmark: 902.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, build_cpu_time: 0.0236, build_memory: 439042596.8, f_measure: 0.874, kappa: 0.748, kb_relative_information_score: 343.7309, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.874, predictive_accuracy: 0.874, prior_entropy: 1, recall: 0.874, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5822, scimark_benchmark: 929.0695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, build_cpu_time: 28.0889, build_memory: 986889583.2, f_measure: 0.862, kappa: 0.724, kb_relative_information_score: 316.4412, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8621, predictive_accuracy: 0.862, prior_entropy: 1, recall: 0.862, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6172, scimark_benchmark: 931.2177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, build_cpu_time: 56.0285, build_memory: 255673070.4, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 315.4076, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.3907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6186, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, build_cpu_time: 0.0257, build_memory: 2133928961.6, f_measure: 0.7493, kappa: 0.5002, kb_relative_information_score: 150.9554, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.7531, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8254, scimark_benchmark: 942.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, build_cpu_time: 0.0354, build_memory: 1121697536, f_measure: 0.7473, kappa: 0.4962, kb_relative_information_score: 150.5546, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.7513, predictive_accuracy: 0.748, prior_entropy: 1, recall: 0.748, relative_absolute_error: 0.7394, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8244, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, build_cpu_time: 0.0091, build_memory: 2152318264, f_measure: 0.7473, kappa: 0.4962, kb_relative_information_score: 150.8256, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.7513, predictive_accuracy: 0.748, prior_entropy: 1, recall: 0.748, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8243, scimark_benchmark: 949.7836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, build_cpu_time: 0.4001, build_memory: 67812375.2, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 325.538, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.3499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8091, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, build_cpu_time: 0.0039, build_memory: 746471784, f_measure: 0.7514, kappa: 0.5042, kb_relative_information_score: 150.4369, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.7549, predictive_accuracy: 0.752, prior_entropy: 1, recall: 0.752, relative_absolute_error: 0.7397, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8247, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, build_cpu_time: 0.0024, build_memory: 3051845845.6, f_measure: 0.7656, kappa: 0.5322, kb_relative_information_score: 150.0315, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.768, predictive_accuracy: 0.766, prior_entropy: 1, recall: 0.766, relative_absolute_error: 0.7411, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8235, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, build_cpu_time: 1.3614, build_memory: 2313996830.4, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 317.7301, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8601, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6272, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, build_cpu_time: 2.6222, build_memory: 525486268, f_measure: 0.866, kappa: 0.732, kb_relative_information_score: 319.9386, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8663, predictive_accuracy: 0.866, prior_entropy: 1, recall: 0.866, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.308, root_relative_squared_error: 0.616, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, build_cpu_time: 5.6633, build_memory: 1466593939.2, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 319.8307, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8601, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.3793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6085, scimark_benchmark: 943.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, build_cpu_time: 10.587, build_memory: 323118096, f_measure: 0.852, kappa: 0.704, kb_relative_information_score: 318.6818, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8522, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.3816, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6083, scimark_benchmark: 945.0883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, build_cpu_time: 22.2467, build_memory: 164130441.6, f_measure: 0.858, kappa: 0.716, kb_relative_information_score: 319.9177, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8581, predictive_accuracy: 0.858, prior_entropy: 1, recall: 0.858, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.6041, scimark_benchmark: 944.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, build_cpu_time: 2.7295, build_memory: 863870444, f_measure: 0.882, kappa: 0.764, kb_relative_information_score: 382.8254, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.882, predictive_accuracy: 0.882, prior_entropy: 1, recall: 0.882, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6684, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, build_cpu_time: 1.1931, build_memory: 961419631.2, f_measure: 0.878, kappa: 0.756, kb_relative_information_score: 379.1117, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8781, predictive_accuracy: 0.878, prior_entropy: 1, recall: 0.878, relative_absolute_error: 0.2412, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6765, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, build_cpu_time: 0.7183, build_memory: 316810541.6, f_measure: 0.888, kappa: 0.776, kb_relative_information_score: 388.1341, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 1, recall: 0.888, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6448, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, build_cpu_time: 0.5109, build_memory: 507397528.8, f_measure: 0.89, kappa: 0.78, kb_relative_information_score: 382.8621, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.89, predictive_accuracy: 0.89, prior_entropy: 1, recall: 0.89, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6564, scimark_benchmark: 941.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, build_cpu_time: 0.1905, build_memory: 1102709570.4, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 362.8448, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8641, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.6969, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, build_cpu_time: 1.949, build_memory: 1023152169.6, f_measure: 0.862, kappa: 0.724, kb_relative_information_score: 293.133, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.862, predictive_accuracy: 0.862, prior_entropy: 1, recall: 0.862, relative_absolute_error: 0.4453, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6158, scimark_benchmark: 917.9237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, build_cpu_time: 2.7594, build_memory: 729532482.4, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 291.0352, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.4494, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6198, scimark_benchmark: 944.0976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, build_cpu_time: 0.5295, build_memory: 351116674.4, f_measure: 0.8579, kappa: 0.7159, kb_relative_information_score: 301.4113, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8587, predictive_accuracy: 0.858, prior_entropy: 1, recall: 0.858, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6346, scimark_benchmark: 929.6896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, build_cpu_time: 0.2682, build_memory: 1039485023.2, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 300.2906, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8563, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.318, root_relative_squared_error: 0.636, scimark_benchmark: 903.3428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, build_cpu_time: 0.17, build_memory: 906791379.2, f_measure: 0.8579, kappa: 0.7159, kb_relative_information_score: 301.6764, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8589, predictive_accuracy: 0.858, prior_entropy: 1, recall: 0.858, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6363, scimark_benchmark: 945.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, build_cpu_time: 0.0698, build_memory: 671106273.6, f_measure: 0.8559, kappa: 0.7119, kb_relative_information_score: 301.5205, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8565, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.4209, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6461, scimark_benchmark: 942.2042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, build_cpu_time: 0.0732, build_memory: 1702310140, f_measure: 0.8559, kappa: 0.7119, kb_relative_information_score: 301.5205, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8565, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.4209, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6461, scimark_benchmark: 853.3657,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs