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OpenML
Task
Supervised Classification on spambase

Supervised Classification on spambase

Task 43 Supervised Classification spambase 99483 runs submitted
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Visibility: Public
  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_98 study_99 under100k under1m
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99483 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.9011, kappa: 0.7925, kb_relative_information_score: 3441.1113, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9011, predictive_accuracy: 0.9013, prior_entropy: 0.9674, recall: 0.9013, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.5743, scimark_benchmark: 889.3151, usercpu_time_millis: 6510, usercpu_time_millis_testing: 6510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.9021, kappa: 0.7934, kb_relative_information_score: 3650.3975, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9047, predictive_accuracy: 0.9033, prior_entropy: 0.9674, recall: 0.9033, relative_absolute_error: 0.2025, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6364, scimark_benchmark: 916.5955, usercpu_time_millis: 1120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.7141, kappa: 0.4078, kb_relative_information_score: 2104.0203, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7947, predictive_accuracy: 0.7459, prior_entropy: 0.9674, recall: 0.7459, relative_absolute_error: 0.532, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5041, root_relative_squared_error: 1.0315, scimark_benchmark: 938.343, usercpu_time_millis: 121600, usercpu_time_millis_testing: 9760, usercpu_time_millis_training: 111840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.9003, kappa: 0.7898, kb_relative_information_score: 3631.1746, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9022, predictive_accuracy: 0.9013, prior_entropy: 0.9674, recall: 0.9013, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.6428, scimark_benchmark: 894.7222, usercpu_time_millis: 310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9271, kappa: 0.8468, kb_relative_information_score: 3474.903, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9274, predictive_accuracy: 0.9274, prior_entropy: 0.9674, recall: 0.9274, relative_absolute_error: 0.2642, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.241, root_relative_squared_error: 0.4931, scimark_benchmark: 1321.527, usercpu_time_millis: 3350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.8435, kappa: 0.6741, kb_relative_information_score: 3056.6228, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.845, predictive_accuracy: 0.8429, prior_entropy: 0.9674, recall: 0.8429, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8112, scimark_benchmark: 1304.9611, usercpu_time_millis: 650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9383, kappa: 0.8705, kb_relative_information_score: 3735.0761, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9384, predictive_accuracy: 0.9385, prior_entropy: 0.9674, recall: 0.9385, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4431, scimark_benchmark: 1306.6379, usercpu_time_millis: 117730, usercpu_time_millis_testing: 7700, usercpu_time_millis_training: 110030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8411, kappa: 0.6681, kb_relative_information_score: 3035.264, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8417, predictive_accuracy: 0.8407, prior_entropy: 0.9674, recall: 0.8407, relative_absolute_error: 0.3336, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8168, scimark_benchmark: 1304.9611, usercpu_time_millis: 14400, usercpu_time_millis_testing: 6460, usercpu_time_millis_training: 7940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9278, kappa: 0.8488, kb_relative_information_score: 3747.9286, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9278, predictive_accuracy: 0.9278, prior_entropy: 0.9674, recall: 0.9278, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.4992, scimark_benchmark: 1066.7184, usercpu_time_millis: 46480, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 46340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.9159, kappa: 0.8243, kb_relative_information_score: 3772.1426, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9163, predictive_accuracy: 0.9157, prior_entropy: 0.9674, recall: 0.9157, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.5939, scimark_benchmark: 1325.942, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9295, kappa: 0.8521, kb_relative_information_score: 3656.0991, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9295, predictive_accuracy: 0.9296, prior_entropy: 0.9674, recall: 0.9296, relative_absolute_error: 0.2199, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5108, scimark_benchmark: 1335.4072, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.9299, kappa: 0.8529, kb_relative_information_score: 3651.4495, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9299, predictive_accuracy: 0.93, prior_entropy: 0.9674, recall: 0.93, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.5168, scimark_benchmark: 1355.7054, usercpu_time_millis: 2560, usercpu_time_millis_training: 2560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.9196, kappa: 0.8324, kb_relative_information_score: 3808.4526, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9204, predictive_accuracy: 0.9194, prior_entropy: 0.9674, recall: 0.9194, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.284, root_relative_squared_error: 0.5811, scimark_benchmark: 1442.7264, usercpu_time_millis: 6190, usercpu_time_millis_testing: 2970, usercpu_time_millis_training: 3220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5334, f_measure: 0.5147, kappa: 0.0797, kb_relative_information_score: 984.8191, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7618, predictive_accuracy: 0.632, prior_entropy: 0.9674, recall: 0.632, relative_absolute_error: 0.7705, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2414, scimark_benchmark: 1384.4418, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9372, kappa: 0.8685, kb_relative_information_score: 3881.6038, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9372, predictive_accuracy: 0.9372, prior_entropy: 0.9674, recall: 0.9372, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4833, scimark_benchmark: 1341.2341, usercpu_time_millis: 1140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.7818, kappa: 0.5404, kb_relative_information_score: 2473.5276, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7816, predictive_accuracy: 0.7835, prior_entropy: 0.9674, recall: 0.7835, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9522, scimark_benchmark: 1465.2979, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.91, kappa: 0.8106, kb_relative_information_score: 3413.1889, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9109, predictive_accuracy: 0.9107, prior_entropy: 0.9674, recall: 0.9107, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.5604, scimark_benchmark: 938.2848, usercpu_time_millis: 280270, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 280070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.912, kappa: 0.816, kb_relative_information_score: 3735.8327, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9121, predictive_accuracy: 0.912, prior_entropy: 0.9674, recall: 0.912, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.6072, scimark_benchmark: 1028.5889, usercpu_time_millis: 1250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.4573, kb_relative_information_score: -0.0763, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.9271, kappa: 0.8472, kb_relative_information_score: 3751.0753, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9271, predictive_accuracy: 0.9272, prior_entropy: 0.9674, recall: 0.9272, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.5263, scimark_benchmark: 1054.3694, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7965, kappa: 0.6007, kb_relative_information_score: 1720.9583, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8441, predictive_accuracy: 0.795, prior_entropy: 0.9674, recall: 0.795, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.826, scimark_benchmark: 942.6953, usercpu_time_millis: 970, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7965, kappa: 0.6007, kb_relative_information_score: 1720.9583, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8441, predictive_accuracy: 0.795, prior_entropy: 0.9674, recall: 0.795, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.826, scimark_benchmark: 945.6434, usercpu_time_millis: 990, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7965, kappa: 0.6007, kb_relative_information_score: 1720.9583, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8441, predictive_accuracy: 0.795, prior_entropy: 0.9674, recall: 0.795, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.826, scimark_benchmark: 939.7623, usercpu_time_millis: 970, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7965, kappa: 0.6007, kb_relative_information_score: 1720.9583, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8441, predictive_accuracy: 0.795, prior_entropy: 0.9674, recall: 0.795, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.826, scimark_benchmark: 939.7623, usercpu_time_millis: 950, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9249, kappa: 0.8421, kb_relative_information_score: 3829.9934, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9252, predictive_accuracy: 0.9252, prior_entropy: 0.9674, recall: 0.9252, relative_absolute_error: 0.1663, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.5201, scimark_benchmark: 922.9039, usercpu_time_millis: 7460, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 7430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9164, kappa: 0.8241, kb_relative_information_score: 3739.0799, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9172, predictive_accuracy: 0.917, prior_entropy: 0.9674, recall: 0.917, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.5541, scimark_benchmark: 938.4278, usercpu_time_millis: 4120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9003, kappa: 0.7909, kb_relative_information_score: 3575.7898, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9002, predictive_accuracy: 0.9005, prior_entropy: 0.9674, recall: 0.9005, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.598, scimark_benchmark: 934.5243, usercpu_time_millis: 1890, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8881, kappa: 0.7653, kb_relative_information_score: 3414.9671, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.888, predictive_accuracy: 0.8883, prior_entropy: 0.9674, recall: 0.8883, relative_absolute_error: 0.2561, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.6336, scimark_benchmark: 939.7623, usercpu_time_millis: 1080, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8468, kappa: 0.6805, kb_relative_information_score: 2998.8746, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8478, predictive_accuracy: 0.8463, prior_entropy: 0.9674, recall: 0.8463, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7587, scimark_benchmark: 933.8635, usercpu_time_millis: 560, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9507, kappa: 0.8967, kb_relative_information_score: 3905.0373, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9507, predictive_accuracy: 0.9507, prior_entropy: 0.9674, recall: 0.9507, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.4125, scimark_benchmark: 934.5243, usercpu_time_millis: 8330, usercpu_time_millis_training: 8330,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9414, kappa: 0.877, kb_relative_information_score: 3777.1554, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9415, predictive_accuracy: 0.9415, prior_entropy: 0.9674, recall: 0.9415, relative_absolute_error: 0.1918, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4366, scimark_benchmark: 910.8389, usercpu_time_millis: 2030, usercpu_time_millis_training: 2030,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, build_cpu_time: 15.485, build_memory: 1668230809.9161, f_measure: 0.9549, kappa: 0.9055, kb_relative_information_score: 4160.7923, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.955, predictive_accuracy: 0.955, prior_entropy: 0.9674, recall: 0.955, relative_absolute_error: 0.0937, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4285, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, build_cpu_time: 24.0379, build_memory: 1428305456.3356, f_measure: 0.9554, kappa: 0.9063, kb_relative_information_score: 4162.4504, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.9674, recall: 0.9554, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4267, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, build_cpu_time: 40.1671, build_memory: 1406802178.3908, f_measure: 0.9551, kappa: 0.9059, kb_relative_information_score: 4162.8275, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.9674, recall: 0.9552, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.424, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, build_cpu_time: 67.9879, build_memory: 1689908821.5119, f_measure: 0.9558, kappa: 0.9073, kb_relative_information_score: 4163.6995, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9558, predictive_accuracy: 0.9559, prior_entropy: 0.9674, recall: 0.9559, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.4235, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, build_cpu_time: 120.9968, build_memory: 1393494952.1739, f_measure: 0.9558, kappa: 0.9073, kb_relative_information_score: 4165.2543, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9558, predictive_accuracy: 0.9559, prior_entropy: 0.9674, recall: 0.9559, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.4233, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, build_cpu_time: 5.5743, build_memory: 1300760793.0624, f_measure: 0.8603, kappa: 0.7076, kb_relative_information_score: 3204.4862, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8604, predictive_accuracy: 0.8602, prior_entropy: 0.9674, recall: 0.8602, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.719, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, build_cpu_time: 2.9143, build_memory: 1264906325.298, f_measure: 0.8527, kappa: 0.6912, kb_relative_information_score: 3118.0965, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8526, predictive_accuracy: 0.8529, prior_entropy: 0.9674, recall: 0.8529, relative_absolute_error: 0.3185, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7228, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, build_cpu_time: 1.5924, build_memory: 1427179304.0522, f_measure: 0.8432, kappa: 0.6715, kb_relative_information_score: 2956.1028, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8431, predictive_accuracy: 0.8433, prior_entropy: 0.9674, recall: 0.8433, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7371, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, build_cpu_time: 0.7241, build_memory: 541928912.8311, f_measure: 0.8378, kappa: 0.6597, kb_relative_information_score: 2861.8561, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8376, predictive_accuracy: 0.8381, prior_entropy: 0.9674, recall: 0.8381, relative_absolute_error: 0.3797, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7303, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, build_cpu_time: 0.3402, build_memory: 1015541370.8846, f_measure: 0.8015, kappa: 0.5826, kb_relative_information_score: 2433.2537, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8012, predictive_accuracy: 0.8024, prior_entropy: 0.9674, recall: 0.8024, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.386, root_relative_squared_error: 0.79, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, build_cpu_time: 0.6639, build_memory: 728498957.9326, f_measure: 0.7965, kappa: 0.6007, kb_relative_information_score: 1720.9583, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8441, predictive_accuracy: 0.795, prior_entropy: 0.9674, recall: 0.795, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.826, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, build_cpu_time: 0.6223, build_memory: 919002747.8113, f_measure: 0.7965, kappa: 0.6007, kb_relative_information_score: 1720.9583, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8441, predictive_accuracy: 0.795, prior_entropy: 0.9674, recall: 0.795, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.826, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, build_cpu_time: 0.6744, build_memory: 902742517.7796, f_measure: 0.7965, kappa: 0.6007, kb_relative_information_score: 1720.9583, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8441, predictive_accuracy: 0.795, prior_entropy: 0.9674, recall: 0.795, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.826, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, build_cpu_time: 0.6214, build_memory: 1267233233.2276, f_measure: 0.7965, kappa: 0.6007, kb_relative_information_score: 1720.9583, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8441, predictive_accuracy: 0.795, prior_entropy: 0.9674, recall: 0.795, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.826, scimark_benchmark: 943.5504,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, build_cpu_time: 3636.5753, build_memory: 166369971.3384, f_measure: 0.8962, kappa: 0.7821, kb_relative_information_score: 3269.4405, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8962, predictive_accuracy: 0.8965, prior_entropy: 0.9674, recall: 0.8965, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5633, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, build_cpu_time: 6962.7059, build_memory: 901281644.373, f_measure: 0.9212, kappa: 0.8344, kb_relative_information_score: 3517.1292, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9215, predictive_accuracy: 0.9215, prior_entropy: 0.9674, recall: 0.9215, relative_absolute_error: 0.2503, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.5033, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, build_cpu_time: 16463.3598, build_memory: 691469313.3632, f_measure: 0.93, kappa: 0.8532, kb_relative_information_score: 3689.3646, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9299, predictive_accuracy: 0.93, prior_entropy: 0.9674, recall: 0.93, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4694, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, build_cpu_time: 56691.013, build_memory: 622986804.446, f_measure: 0.9496, kappa: 0.8946, kb_relative_information_score: 4008.5979, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9497, predictive_accuracy: 0.9496, prior_entropy: 0.9674, recall: 0.9496, relative_absolute_error: 0.1325, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.4035, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, build_cpu_time: 29085.437, build_memory: 820666363.0654, f_measure: 0.9409, kappa: 0.8762, kb_relative_information_score: 3870.8357, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9409, predictive_accuracy: 0.9409, prior_entropy: 0.9674, recall: 0.9409, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4313, scimark_benchmark: 937.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, build_cpu_time: 606.5567, build_memory: 99344531.6705, f_measure: 0.9561, kappa: 0.908, kb_relative_information_score: 4157.5496, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 0.9674, recall: 0.9561, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4185, scimark_benchmark: 931.6517,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, build_cpu_time: 579.5973, build_memory: 139684502.4838, f_measure: 0.9559, kappa: 0.9076, kb_relative_information_score: 4157.4042, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9559, predictive_accuracy: 0.9559, prior_entropy: 0.9674, recall: 0.9559, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4185, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, build_cpu_time: 442.2099, build_memory: 1458161086.1552, f_measure: 0.9552, kappa: 0.9062, kb_relative_information_score: 4151.3372, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.9674, recall: 0.9552, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4203, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, build_cpu_time: 311.8034, build_memory: 683842841.9283, f_measure: 0.9524, kappa: 0.9004, kb_relative_information_score: 4133.5172, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 0.9674, recall: 0.9524, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4264, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, build_cpu_time: 29.4991, build_memory: 151000176.3251, f_measure: 0.9376, kappa: 0.8692, kb_relative_information_score: 3857.7329, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9376, predictive_accuracy: 0.9376, prior_entropy: 0.9674, recall: 0.9376, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4602, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, build_cpu_time: 57.9854, build_memory: 797066618.0135, f_measure: 0.9422, kappa: 0.8789, kb_relative_information_score: 3952.158, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9422, predictive_accuracy: 0.9422, prior_entropy: 0.9674, recall: 0.9422, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4373, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, build_cpu_time: 110.887, build_memory: 461574349.0754, f_measure: 0.9498, kappa: 0.8949, kb_relative_information_score: 4042.6453, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9498, predictive_accuracy: 0.9498, prior_entropy: 0.9674, recall: 0.9498, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.4199, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, build_cpu_time: 209.4286, build_memory: 1100847920.0574, f_measure: 0.9511, kappa: 0.8976, kb_relative_information_score: 4096.5314, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9511, predictive_accuracy: 0.9511, prior_entropy: 0.9674, recall: 0.9511, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4104, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, build_cpu_time: 423.0121, build_memory: 899033307.2967, f_measure: 0.9552, kappa: 0.9063, kb_relative_information_score: 4137.9595, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.9674, recall: 0.9552, relative_absolute_error: 0.0998, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4099, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, build_cpu_time: 1800.202, build_memory: 609195482.6481, f_measure: 0.908, kappa: 0.8072, kb_relative_information_score: 3698.4159, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.908, predictive_accuracy: 0.9081, prior_entropy: 0.9674, recall: 0.9081, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.62, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, build_cpu_time: 22.4948, build_memory: 988878253.1571, f_measure: 0.9419, kappa: 0.8783, kb_relative_information_score: 3995.8754, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9419, predictive_accuracy: 0.942, prior_entropy: 0.9674, recall: 0.942, relative_absolute_error: 0.131, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.463, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, build_cpu_time: 26.5275, build_memory: 975647054.303, f_measure: 0.9419, kappa: 0.8783, kb_relative_information_score: 3995.8754, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9419, predictive_accuracy: 0.942, prior_entropy: 0.9674, recall: 0.942, relative_absolute_error: 0.131, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.463, scimark_benchmark: 923.9118,

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