OpenML
Supervised Classification on fri_c1_250_25

Supervised Classification on fri_c1_250_25

Task 3612 Supervised Classification fri_c1_250_25 558 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, build_cpu_time: 0.0002, build_memory: 207658624, f_measure: 0.4163, kb_relative_information_score: -0.093, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0002, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, build_cpu_time: 0.0019, build_memory: 374391163.2, f_measure: 0.6336, kappa: 0.2486, kb_relative_information_score: 38.8179, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6328, predictive_accuracy: 0.636, prior_entropy: 0.9852, recall: 0.636, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.972, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6331, build_cpu_time: 0.2976, build_memory: 282759960, f_measure: 0.6099, kappa: 0.2124, kb_relative_information_score: 34.4744, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6157, predictive_accuracy: 0.608, prior_entropy: 0.9852, recall: 0.608, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0355, scimark_benchmark: 935.5532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6374, build_cpu_time: 0.164, build_memory: 253363264, f_measure: 0.6084, kappa: 0.2013, kb_relative_information_score: 39.534, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6089, predictive_accuracy: 0.608, prior_entropy: 0.9852, recall: 0.608, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0606, scimark_benchmark: 946.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6385, build_cpu_time: 0.2806, build_memory: 521252532.8, f_measure: 0.5881, kappa: 0.1548, kb_relative_information_score: 38.0456, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5869, predictive_accuracy: 0.592, prior_entropy: 0.9852, recall: 0.592, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.054, scimark_benchmark: 928.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, build_cpu_time: 0.6075, build_memory: 786937523.2, f_measure: 0.6115, kappa: 0.2026, kb_relative_information_score: 40.2692, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6109, predictive_accuracy: 0.616, prior_entropy: 0.9852, recall: 0.616, relative_absolute_error: 0.8391, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5165, root_relative_squared_error: 1.0439, scimark_benchmark: 935.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, build_cpu_time: 2.4275, build_memory: 447493028.8, f_measure: 0.5872, kappa: 0.1528, kb_relative_information_score: 39.7135, mean_absolute_error: 0.4111, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5862, predictive_accuracy: 0.592, prior_entropy: 0.9852, recall: 0.592, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.0418, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, build_cpu_time: 0.3384, build_memory: 125703541.6, f_measure: 0.8959, kappa: 0.7871, kb_relative_information_score: 145.8145, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8959, predictive_accuracy: 0.896, prior_entropy: 0.9852, recall: 0.896, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.297, root_relative_squared_error: 0.6003, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, build_cpu_time: 0.1781, build_memory: 471098200.8, f_measure: 0.8919, kappa: 0.7792, kb_relative_information_score: 147.3118, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9852, recall: 0.892, relative_absolute_error: 0.4546, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.601, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, build_cpu_time: 0.0646, build_memory: 1001026297.6, f_measure: 0.8959, kappa: 0.7871, kb_relative_information_score: 146.3946, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8959, predictive_accuracy: 0.896, prior_entropy: 0.9852, recall: 0.896, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6083, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, build_cpu_time: 0.0693, build_memory: 591481559.2, f_measure: 0.8959, kappa: 0.7871, kb_relative_information_score: 146.3946, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8959, predictive_accuracy: 0.896, prior_entropy: 0.9852, recall: 0.896, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6083, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, build_cpu_time: 0.0156, build_memory: 215451154.4, f_measure: 0.8519, kappa: 0.6974, kb_relative_information_score: 106.2554, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8518, predictive_accuracy: 0.852, prior_entropy: 0.9852, recall: 0.852, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7336, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, build_cpu_time: 0.1907, build_memory: 2593906388, f_measure: 0.8744, kappa: 0.7422, kb_relative_information_score: 99.3567, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8795, predictive_accuracy: 0.876, prior_entropy: 0.9852, recall: 0.876, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7176, scimark_benchmark: 917.2088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, build_cpu_time: 0.2, build_memory: 1289532812.8, f_measure: 0.8744, kappa: 0.7422, kb_relative_information_score: 99.3567, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8795, predictive_accuracy: 0.876, prior_entropy: 0.9852, recall: 0.876, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7176, scimark_benchmark: 940.4855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, build_cpu_time: 10.6872, build_memory: 1216117384, f_measure: 0.8533, kappa: 0.6988, kb_relative_information_score: 87.7777, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8624, predictive_accuracy: 0.856, prior_entropy: 0.9852, recall: 0.856, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.747, scimark_benchmark: 932.8277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, build_cpu_time: 5.4216, build_memory: 689395221.6, f_measure: 0.8537, kappa: 0.6995, kb_relative_information_score: 88.0241, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8608, predictive_accuracy: 0.856, prior_entropy: 0.9852, recall: 0.856, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.746, scimark_benchmark: 928.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, build_cpu_time: 5.2913, build_memory: 739072560.8, f_measure: 0.8537, kappa: 0.6995, kb_relative_information_score: 88.0241, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8608, predictive_accuracy: 0.856, prior_entropy: 0.9852, recall: 0.856, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.746, scimark_benchmark: 921.0569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, build_cpu_time: 3.12, build_memory: 862469568.8, f_measure: 0.8575, kappa: 0.7075, kb_relative_information_score: 88.1441, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8658, predictive_accuracy: 0.86, prior_entropy: 0.9852, recall: 0.86, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7453, scimark_benchmark: 921.6453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, build_cpu_time: 1.6285, build_memory: 1096998639.2, f_measure: 0.8705, kappa: 0.7342, kb_relative_information_score: 87.6085, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8748, predictive_accuracy: 0.872, prior_entropy: 0.9852, recall: 0.872, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7466, scimark_benchmark: 925.2506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, build_cpu_time: 1.0478, build_memory: 537124225.6, f_measure: 0.8747, kappa: 0.7428, kb_relative_information_score: 87.3317, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8784, predictive_accuracy: 0.876, prior_entropy: 0.9852, recall: 0.876, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7471, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, build_cpu_time: 0.0243, build_memory: 647712192.8, f_measure: 0.7729, kappa: 0.5392, kb_relative_information_score: 115.8431, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7758, predictive_accuracy: 0.772, prior_entropy: 0.9852, recall: 0.772, relative_absolute_error: 0.5497, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7903, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, build_cpu_time: 0.0139, build_memory: 1230172000, f_measure: 0.7729, kappa: 0.5392, kb_relative_information_score: 115.8431, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7758, predictive_accuracy: 0.772, prior_entropy: 0.9852, recall: 0.772, relative_absolute_error: 0.5497, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7903, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, build_cpu_time: 0.0135, build_memory: 468094280.8, f_measure: 0.7729, kappa: 0.5392, kb_relative_information_score: 115.8431, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7758, predictive_accuracy: 0.772, prior_entropy: 0.9852, recall: 0.772, relative_absolute_error: 0.5497, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7903, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, build_cpu_time: 0.0261, build_memory: 175753953.6, f_measure: 0.7883, kappa: 0.5685, kb_relative_information_score: 117.2771, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7889, predictive_accuracy: 0.788, prior_entropy: 0.9852, recall: 0.788, relative_absolute_error: 0.5473, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7632, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, build_cpu_time: 0.9771, build_memory: 687516168.8, f_measure: 0.8125, kappa: 0.6152, kb_relative_information_score: 60.9216, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8202, predictive_accuracy: 0.816, prior_entropy: 0.9852, recall: 0.816, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8386, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, build_cpu_time: 0.0527, build_memory: 741804641.6, f_measure: 0.8036, kappa: 0.5983, kb_relative_information_score: 117.1773, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8035, predictive_accuracy: 0.804, prior_entropy: 0.9852, recall: 0.804, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7456, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, build_cpu_time: 0.0541, build_memory: 422247900.8, f_measure: 0.8036, kappa: 0.5983, kb_relative_information_score: 117.1773, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8035, predictive_accuracy: 0.804, prior_entropy: 0.9852, recall: 0.804, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7456, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, build_cpu_time: 0.5387, build_memory: 954763042.4, f_measure: 0.7875, kappa: 0.5639, kb_relative_information_score: 63.9953, mean_absolute_error: 0.3837, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7962, predictive_accuracy: 0.792, prior_entropy: 0.9852, recall: 0.792, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8324, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, build_cpu_time: 0.1393, build_memory: 367192830.4, f_measure: 0.8111, kappa: 0.6129, kb_relative_information_score: 88.0309, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8114, predictive_accuracy: 0.812, prior_entropy: 0.9852, recall: 0.812, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7659, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, build_cpu_time: 0.1513, build_memory: 689655680, f_measure: 0.616, kappa: 0.2119, kb_relative_information_score: 36.8345, mean_absolute_error: 0.4229, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6153, predictive_accuracy: 0.62, prior_entropy: 0.9852, recall: 0.62, relative_absolute_error: 0.8636, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9657, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, build_cpu_time: 0.0401, build_memory: 106672137.6, f_measure: 0.6013, kappa: 0.1826, kb_relative_information_score: 32.0273, mean_absolute_error: 0.4296, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6003, predictive_accuracy: 0.604, prior_entropy: 0.9852, recall: 0.604, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9948, scimark_benchmark: 945.5725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, build_cpu_time: 0.0252, build_memory: 127791062.4, f_measure: 0.6144, kappa: 0.2102, kb_relative_information_score: 43.1558, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6135, predictive_accuracy: 0.616, prior_entropy: 0.9852, recall: 0.616, relative_absolute_error: 0.833, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0125, scimark_benchmark: 939.2194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, build_cpu_time: 82.9791, build_memory: 3632685120.8, f_measure: 0.6299, kappa: 0.2413, kb_relative_information_score: 36.0766, mean_absolute_error: 0.4216, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.629, predictive_accuracy: 0.632, prior_entropy: 0.9852, recall: 0.632, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9958, scimark_benchmark: 943.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, build_cpu_time: 212.2229, build_memory: 940883999.2, f_measure: 0.6101, kappa: 0.201, kb_relative_information_score: 34.5622, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6091, predictive_accuracy: 0.612, prior_entropy: 0.9852, recall: 0.612, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9997, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, build_cpu_time: 0.0208, build_memory: 913155711.2, f_measure: 0.7254, kappa: 0.4365, kb_relative_information_score: 50.6982, mean_absolute_error: 0.4068, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7262, predictive_accuracy: 0.728, prior_entropy: 0.9852, recall: 0.728, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8785, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, build_cpu_time: 0.0107, build_memory: 3410646594.4, f_measure: 0.7179, kappa: 0.4213, kb_relative_information_score: 50.5685, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7181, predictive_accuracy: 0.72, prior_entropy: 0.9852, recall: 0.72, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8815, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, build_cpu_time: 0.0098, build_memory: 291628871.2, f_measure: 0.7141, kappa: 0.4138, kb_relative_information_score: 50.76, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7141, predictive_accuracy: 0.716, prior_entropy: 0.9852, recall: 0.716, relative_absolute_error: 0.8296, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8816, scimark_benchmark: 1248.2043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, build_cpu_time: 0.4583, build_memory: 3054880619.2, f_measure: 0.5998, kappa: 0.1787, kb_relative_information_score: 33.1808, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5989, predictive_accuracy: 0.604, prior_entropy: 0.9852, recall: 0.604, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5502, root_relative_squared_error: 1.1121, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, build_cpu_time: 0.0039, build_memory: 1232545210.4, f_measure: 0.7216, kappa: 0.4289, kb_relative_information_score: 50.8047, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7221, predictive_accuracy: 0.724, prior_entropy: 0.9852, recall: 0.724, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8799, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, build_cpu_time: 0.0028, build_memory: 2622038821.6, f_measure: 0.7421, kappa: 0.4709, kb_relative_information_score: 51.737, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7425, predictive_accuracy: 0.744, prior_entropy: 0.9852, recall: 0.744, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8762, scimark_benchmark: 941.5509,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, build_cpu_time: 3.8974, build_memory: 228065177.6, f_measure: 0.8838, kappa: 0.7622, kb_relative_information_score: 141.3136, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8838, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.472, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.6376, scimark_benchmark: 876.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, build_cpu_time: 5.3095, build_memory: 3385920221.6, f_measure: 0.8877, kappa: 0.7702, kb_relative_information_score: 144.8895, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8879, predictive_accuracy: 0.888, prior_entropy: 0.9852, recall: 0.888, relative_absolute_error: 0.4588, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6262, scimark_benchmark: 944.4432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, build_cpu_time: 12.1903, build_memory: 758512096.8, f_measure: 0.8879, kappa: 0.7707, kb_relative_information_score: 145.4225, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8878, predictive_accuracy: 0.888, prior_entropy: 0.9852, recall: 0.888, relative_absolute_error: 0.458, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6241, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, build_cpu_time: 22.6757, build_memory: 801847468.8, f_measure: 0.8998, kappa: 0.795, kb_relative_information_score: 145.0028, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8999, predictive_accuracy: 0.9, prior_entropy: 0.9852, recall: 0.9, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.6207, scimark_benchmark: 928.3063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, build_cpu_time: 5.1017, build_memory: 1489434756.8, f_measure: 0.8836, kappa: 0.7617, kb_relative_information_score: 190.5682, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8839, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.683, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, build_cpu_time: 2.2243, build_memory: 1080847770.4, f_measure: 0.8797, kappa: 0.7538, kb_relative_information_score: 188.3736, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8798, predictive_accuracy: 0.88, prior_entropy: 0.9852, recall: 0.88, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6953, scimark_benchmark: 944.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, build_cpu_time: 1.2669, build_memory: 141163354.4, f_measure: 0.8919, kappa: 0.7792, kb_relative_information_score: 193.4534, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9852, recall: 0.892, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6609, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, build_cpu_time: 0.6244, build_memory: 229093476, f_measure: 0.8919, kappa: 0.7792, kb_relative_information_score: 192.7756, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9852, recall: 0.892, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6443, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, build_cpu_time: 0.5747, build_memory: 1228414821.6, f_measure: 0.8919, kappa: 0.7792, kb_relative_information_score: 192.7756, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9852, recall: 0.892, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6443, scimark_benchmark: 942.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, build_cpu_time: 0.5344, build_memory: 1055026798.4, f_measure: 0.8919, kappa: 0.7792, kb_relative_information_score: 192.7756, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9852, recall: 0.892, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6443, scimark_benchmark: 920.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, build_cpu_time: 1.3459, build_memory: 128246079.2, f_measure: 0.8754, kappa: 0.7446, kb_relative_information_score: 148.0235, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8762, predictive_accuracy: 0.876, prior_entropy: 0.9852, recall: 0.876, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.6155, scimark_benchmark: 925.7926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, build_cpu_time: 2.6056, build_memory: 367293798.4, f_measure: 0.8673, kappa: 0.7282, kb_relative_information_score: 145.5119, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8681, predictive_accuracy: 0.868, prior_entropy: 0.9852, recall: 0.868, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.62, scimark_benchmark: 931.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, build_cpu_time: 0.7137, build_memory: 513852576, f_measure: 0.8959, kappa: 0.7871, kb_relative_information_score: 157.3114, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8959, predictive_accuracy: 0.896, prior_entropy: 0.9852, recall: 0.896, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.5845, scimark_benchmark: 934.5929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, build_cpu_time: 0.3724, build_memory: 807416683.2, f_measure: 0.8839, kappa: 0.7628, kb_relative_information_score: 158.4072, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8839, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5882, scimark_benchmark: 949.5541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, build_cpu_time: 0.2274, build_memory: 1895601358.4, f_measure: 0.9078, kappa: 0.8114, kb_relative_information_score: 158.5972, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.9079, predictive_accuracy: 0.908, prior_entropy: 0.9852, recall: 0.908, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.29, root_relative_squared_error: 0.5862, scimark_benchmark: 897.1209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, build_cpu_time: 0.0877, build_memory: 461134496.8, f_measure: 0.8997, kappa: 0.7946, kb_relative_information_score: 155.3991, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 0.9852, recall: 0.9, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.5977, scimark_benchmark: 900.1273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, build_cpu_time: 0.0896, build_memory: 1135029764.8, f_measure: 0.8997, kappa: 0.7946, kb_relative_information_score: 155.3991, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 0.9852, recall: 0.9, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.5977, scimark_benchmark: 928.0098,

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