Task
Supervised Classification on dermatology

Supervised Classification on dermatology

Task 1915 Supervised Classification dermatology 163 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 0.0364, build_memory: 3708476685.7639, f_measure: 0.9679, kappa: 0.96, kb_relative_information_score: 3410.9868, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 2.4378, recall: 0.968, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.276, scimark_benchmark: 943.3065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 0.0727, build_memory: 181168588.0284, f_measure: 0.9674, kappa: 0.9593, kb_relative_information_score: 3412.2227, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 2.4378, recall: 0.9675, relative_absolute_error: 0.1005, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2741, scimark_benchmark: 941.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, build_cpu_time: 0.1388, build_memory: 570372767.3443, f_measure: 0.9696, kappa: 0.962, kb_relative_information_score: 3414.9016, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 2.4378, recall: 0.9697, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.2707, scimark_benchmark: 941.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 0.3076, build_memory: 1166421306.6295, f_measure: 0.9712, kappa: 0.9641, kb_relative_information_score: 3417.7009, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9712, predictive_accuracy: 0.9713, prior_entropy: 2.4378, recall: 0.9713, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.268, scimark_benchmark: 944.2161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 2.8429, build_memory: 196627591.2481, f_measure: 0.9365, kappa: 0.9203, kb_relative_information_score: 3211.4975, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9383, predictive_accuracy: 0.9363, prior_entropy: 2.4378, recall: 0.9363, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.3449, scimark_benchmark: 946.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 1.7356, build_memory: 1194986884.4962, f_measure: 0.9382, kappa: 0.9224, kb_relative_information_score: 3208.7537, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9401, predictive_accuracy: 0.938, prior_entropy: 2.4378, recall: 0.938, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.3468, scimark_benchmark: 709.6557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9377, kappa: 0.922, kb_relative_information_score: 3362.2287, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9379, predictive_accuracy: 0.9377, prior_entropy: 2.4378, recall: 0.9377, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.3714, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.1434, kb_relative_information_score: 2.7039, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.0936, predictive_accuracy: 0.306, prior_entropy: 2.4378, recall: 0.306, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3649, root_relative_squared_error: 1.0001, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9478, kappa: 0.9344, kb_relative_information_score: 3427.8169, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9483, predictive_accuracy: 0.9475, prior_entropy: 2.4378, recall: 0.9475, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.3624, scimark_benchmark: 1330.0803, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.3495, kappa: 0.3388, kb_relative_information_score: 1319.018, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.2757, predictive_accuracy: 0.5019, prior_entropy: 2.4378, recall: 0.5019, relative_absolute_error: 0.6231, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.4075, root_relative_squared_error: 1.1167, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9522, kappa: 0.9401, kb_relative_information_score: 3406.0239, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9524, predictive_accuracy: 0.9522, prior_entropy: 2.4378, recall: 0.9522, relative_absolute_error: 0.0817, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.3357, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5636, f_measure: 0.2947, kappa: 0.1411, kb_relative_information_score: 905.7701, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.6081, predictive_accuracy: 0.3877, prior_entropy: 2.4378, recall: 0.3877, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.2382, scimark_benchmark: 1368.9272, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9465, kappa: 0.9333, kb_relative_information_score: 3408.5428, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.947, predictive_accuracy: 0.9467, prior_entropy: 2.4378, recall: 0.9467, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.3652, scimark_benchmark: 825.5282, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9457, kappa: 0.9317, kb_relative_information_score: 3366.7798, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9465, predictive_accuracy: 0.9454, prior_entropy: 2.4378, recall: 0.9454, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.3631, scimark_benchmark: 1066.7184, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9065, kappa: 0.8829, kb_relative_information_score: 3154.6319, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.908, predictive_accuracy: 0.9068, prior_entropy: 2.4378, recall: 0.9068, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.164, root_relative_squared_error: 0.4494, scimark_benchmark: 1319.6463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8827, kappa: 0.8522, kb_relative_information_score: 3125.1574, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.8838, predictive_accuracy: 0.882, prior_entropy: 2.4378, recall: 0.882, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.5252, scimark_benchmark: 1346.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9684, kappa: 0.9606, kb_relative_information_score: 3239.6054, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 2.4378, recall: 0.9686, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.3143, scimark_benchmark: 1315.0767, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9592, kappa: 0.9487, kb_relative_information_score: 3478.6338, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9595, predictive_accuracy: 0.959, prior_entropy: 2.4378, recall: 0.959, relative_absolute_error: 0.0557, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2853, scimark_benchmark: 1297.5331, usercpu_time_millis: 2920, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9694, kappa: 0.9617, kb_relative_information_score: 3518.0147, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9695, predictive_accuracy: 0.9694, prior_entropy: 2.4378, recall: 0.9694, relative_absolute_error: 0.0383, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.101, root_relative_squared_error: 0.2768, scimark_benchmark: 1304.9611, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9756, kappa: 0.9696, kb_relative_information_score: 3477.8578, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9759, predictive_accuracy: 0.9757, prior_entropy: 2.4378, recall: 0.9757, relative_absolute_error: 0.0715, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2338, scimark_benchmark: 912.5006, usercpu_time_millis: 610, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9616, kappa: 0.9521, kb_relative_information_score: 1254.0753, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9616, predictive_accuracy: 0.9617, prior_entropy: 2.4378, recall: 0.9617, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.854, scimark_benchmark: 1312.3073, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9752, kappa: 0.9692, kb_relative_information_score: 1260.8031, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.976, predictive_accuracy: 0.9754, prior_entropy: 2.4378, recall: 0.9754, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.8528, scimark_benchmark: 1315.395, usercpu_time_millis: 310, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9636, kappa: 0.9542, kb_relative_information_score: 3438.918, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9646, predictive_accuracy: 0.9634, prior_entropy: 2.4378, recall: 0.9634, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1032, root_relative_squared_error: 0.2829, scimark_benchmark: 1324.8395, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9707, kappa: 0.9631, kb_relative_information_score: 3419.5089, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9715, predictive_accuracy: 0.9705, prior_entropy: 2.4378, recall: 0.9705, relative_absolute_error: 0.1001, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1001, root_relative_squared_error: 0.2744, scimark_benchmark: 1304.6687, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.349, kappa: 0.3366, kb_relative_information_score: 1330.7101, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.2766, predictive_accuracy: 0.4997, prior_entropy: 2.4378, recall: 0.4997, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.8754, scimark_benchmark: 915.9324, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.349, kappa: 0.3366, kb_relative_information_score: 1330.7101, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.2766, predictive_accuracy: 0.4997, prior_entropy: 2.4378, recall: 0.4997, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.8754, scimark_benchmark: 1442.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.349, kappa: 0.3366, kb_relative_information_score: 1330.7101, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.2766, predictive_accuracy: 0.4997, prior_entropy: 2.4378, recall: 0.4997, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.8754, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.349, kappa: 0.3366, kb_relative_information_score: 1330.7101, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.2766, predictive_accuracy: 0.4997, prior_entropy: 2.4378, recall: 0.4997, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.8754, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.349, kappa: 0.3366, kb_relative_information_score: 1330.7101, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.2766, predictive_accuracy: 0.4997, prior_entropy: 2.4378, recall: 0.4997, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.8754, scimark_benchmark: 1363.434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9316, kappa: 0.9144, kb_relative_information_score: 3301.2795, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9329, predictive_accuracy: 0.9317, prior_entropy: 2.4378, recall: 0.9317, relative_absolute_error: 0.1114, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.3991, scimark_benchmark: 939.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9664, kappa: 0.9583, kb_relative_information_score: 3511.271, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9664, predictive_accuracy: 0.9667, prior_entropy: 2.4378, recall: 0.9667, relative_absolute_error: 0.0449, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.2613, scimark_benchmark: 940.0008, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9617, kappa: 0.9525, kb_relative_information_score: 3492.6497, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9616, predictive_accuracy: 0.962, prior_entropy: 2.4378, recall: 0.962, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.291, scimark_benchmark: 1335.4072, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9567, kappa: 0.9462, kb_relative_information_score: 3162.9429, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 2.4378, recall: 0.9571, relative_absolute_error: 0.2168, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.3501, scimark_benchmark: 1331.6907, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9605, kappa: 0.9514, kb_relative_information_score: 2341.3848, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9617, predictive_accuracy: 0.9612, prior_entropy: 2.4378, recall: 0.9612, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.6132, scimark_benchmark: 906.4475, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9476, kappa: 0.9347, kb_relative_information_score: 3428.2597, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9485, predictive_accuracy: 0.9478, prior_entropy: 2.4378, recall: 0.9478, relative_absolute_error: 0.0653, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.3615, scimark_benchmark: 912.7324, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9706, kappa: 0.9634, kb_relative_information_score: 3516.6112, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9708, predictive_accuracy: 0.9708, prior_entropy: 2.4378, recall: 0.9708, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.098, root_relative_squared_error: 0.2686, scimark_benchmark: 930.5999, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 3569.0744, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9802, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0664, root_relative_squared_error: 0.182, scimark_benchmark: 1404.1865,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9286, kappa: 0.9106, kb_relative_information_score: 3207.5385, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9307, predictive_accuracy: 0.929, prior_entropy: 2.4378, recall: 0.929, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.3691, scimark_benchmark: 1318.3541, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9434, kappa: 0.9289, kb_relative_information_score: 3395.8565, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9439, predictive_accuracy: 0.9432, prior_entropy: 2.4378, recall: 0.9432, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.331, scimark_benchmark: 942.9708, usercpu_time_millis: 560, usercpu_time_millis_testing: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9684, kappa: 0.9606, kb_relative_information_score: 3239.6054, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 2.4378, recall: 0.9686, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.3143, scimark_benchmark: 1345.7204, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9806, kappa: 0.9757, kb_relative_information_score: 3572.6222, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9816, predictive_accuracy: 0.9806, prior_entropy: 2.4378, recall: 0.9806, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1779, scimark_benchmark: 1343.2125, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 3569.0744, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9802, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0664, root_relative_squared_error: 0.182, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 3569.0744, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9802, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0664, root_relative_squared_error: 0.182, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9375, kappa: 0.9217, kb_relative_information_score: 3361.3357, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9377, predictive_accuracy: 0.9374, prior_entropy: 2.4378, recall: 0.9374, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3718, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9684, kappa: 0.9606, kb_relative_information_score: 3239.6054, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 2.4378, recall: 0.9686, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.3143, scimark_benchmark: 1322.7257, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 3569.0744, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9802, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0664, root_relative_squared_error: 0.182, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9684, kappa: 0.9606, kb_relative_information_score: 3239.6054, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 2.4378, recall: 0.9686, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.3143, scimark_benchmark: 1260.1387, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8203, kappa: 0.7904, kb_relative_information_score: 2893.6199, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.8647, predictive_accuracy: 0.8339, prior_entropy: 2.4378, recall: 0.8339, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.6449, scimark_benchmark: 1318.2298, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9375, kappa: 0.9217, kb_relative_information_score: 3361.3357, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9377, predictive_accuracy: 0.9374, prior_entropy: 2.4378, recall: 0.9374, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3718, scimark_benchmark: 1354.4721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9684, kappa: 0.9606, kb_relative_information_score: 3239.6054, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 2.4378, recall: 0.9686, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.3143, scimark_benchmark: 1274.7011, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9806, kappa: 0.9757, kb_relative_information_score: 3572.6222, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9816, predictive_accuracy: 0.9806, prior_entropy: 2.4378, recall: 0.9806, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1779, scimark_benchmark: 1333.9912, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9684, kappa: 0.9606, kb_relative_information_score: 3239.6054, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 2.4378, recall: 0.9686, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.3143, scimark_benchmark: 1348.2804, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9806, kappa: 0.9757, kb_relative_information_score: 3572.6222, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9816, predictive_accuracy: 0.9806, prior_entropy: 2.4378, recall: 0.9806, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1779, scimark_benchmark: 1349.9109, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9806, kappa: 0.9757, kb_relative_information_score: 3572.6222, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9816, predictive_accuracy: 0.9806, prior_entropy: 2.4378, recall: 0.9806, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1779, scimark_benchmark: 1338.6409, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9806, kappa: 0.9757, kb_relative_information_score: 3572.6222, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9816, predictive_accuracy: 0.9806, prior_entropy: 2.4378, recall: 0.9806, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1779, scimark_benchmark: 1325.6322, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9806, kappa: 0.9757, kb_relative_information_score: 3572.6222, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9816, predictive_accuracy: 0.9806, prior_entropy: 2.4378, recall: 0.9806, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1779, scimark_benchmark: 1349.8336, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9806, kappa: 0.9757, kb_relative_information_score: 3572.6222, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9816, predictive_accuracy: 0.9806, prior_entropy: 2.4378, recall: 0.9806, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1779, scimark_benchmark: 1343.7262, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8203, kappa: 0.7904, kb_relative_information_score: 2893.6199, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.8647, predictive_accuracy: 0.8339, prior_entropy: 2.4378, recall: 0.8339, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.6449, scimark_benchmark: 1367.3264, usercpu_time_millis: 180, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8203, kappa: 0.7904, kb_relative_information_score: 2893.6199, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.8647, predictive_accuracy: 0.8339, prior_entropy: 2.4378, recall: 0.8339, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.6449, scimark_benchmark: 1332.1612, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.953, kappa: 0.9409, kb_relative_information_score: 3403.9132, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9533, predictive_accuracy: 0.9527, prior_entropy: 2.4378, recall: 0.9527, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3067, scimark_benchmark: 1318.6467, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9394, kappa: 0.9247, kb_relative_information_score: 3343.3129, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9404, predictive_accuracy: 0.9402, prior_entropy: 2.4378, recall: 0.9402, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.375, scimark_benchmark: 1339.8573, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9689, kappa: 0.961, kb_relative_information_score: 3515.6782, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.969, predictive_accuracy: 0.9689, prior_entropy: 2.4378, recall: 0.9689, relative_absolute_error: 0.039, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2793, scimark_benchmark: 1362.1309, usercpu_time_millis: 90, usercpu_time_millis_training: 90,

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

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From your own software

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

OpenML APIs