Task
Supervised Classification on squash-stored

Supervised Classification on squash-stored

Task 4540 Supervised Classification squash-stored 215 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, build_cpu_time: 0.012, build_memory: 3370874703.5538, f_measure: 0.7676, kappa: 0.5298, kb_relative_information_score: 211.2653, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7682, predictive_accuracy: 0.7673, prior_entropy: 0.9911, recall: 0.7673, relative_absolute_error: 0.6145, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8112, scimark_benchmark: 935.7522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, build_cpu_time: 0.0286, build_memory: 2001422309.6923, f_measure: 0.7757, kappa: 0.5478, kb_relative_information_score: 211.2966, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7784, predictive_accuracy: 0.775, prior_entropy: 0.9911, recall: 0.775, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8059, scimark_benchmark: 909.7868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, build_cpu_time: 0.0367, build_memory: 743359359.6615, f_measure: 0.7679, kappa: 0.5315, kb_relative_information_score: 212.0279, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7698, predictive_accuracy: 0.7673, prior_entropy: 0.9911, recall: 0.7673, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8037, scimark_benchmark: 947.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, build_cpu_time: 0.0359, build_memory: 65587158.5231, f_measure: 0.7679, kappa: 0.5315, kb_relative_information_score: 212.0279, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7698, predictive_accuracy: 0.7673, prior_entropy: 0.9911, recall: 0.7673, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8037, scimark_benchmark: 926.0779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, build_cpu_time: 0.0722, build_memory: 813660711.4923, f_measure: 0.7795, kappa: 0.5555, kb_relative_information_score: 214.1059, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7822, predictive_accuracy: 0.7788, prior_entropy: 0.9911, recall: 0.7788, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7964, scimark_benchmark: 945.1298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, build_cpu_time: 0.2413, build_memory: 584502018.6923, f_measure: 0.7871, kappa: 0.5706, kb_relative_information_score: 217.0544, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7894, predictive_accuracy: 0.7865, prior_entropy: 0.9911, recall: 0.7865, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7825, scimark_benchmark: 939.7054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, build_cpu_time: 0.0059, build_memory: 569723327.4154, f_measure: 0.7681, kappa: 0.5352, kb_relative_information_score: 236.7614, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.775, predictive_accuracy: 0.7673, prior_entropy: 0.9911, recall: 0.7673, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8447, scimark_benchmark: 941.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, build_cpu_time: 0.0043, build_memory: 400342091.0462, f_measure: 0.7681, kappa: 0.5352, kb_relative_information_score: 236.7614, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.775, predictive_accuracy: 0.7673, prior_entropy: 0.9911, recall: 0.7673, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8447, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, build_cpu_time: 0.0051, build_memory: 1544709998.2769, f_measure: 0.7681, kappa: 0.5352, kb_relative_information_score: 236.7614, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.775, predictive_accuracy: 0.7673, prior_entropy: 0.9911, recall: 0.7673, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8447, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, build_cpu_time: 0.0061, build_memory: 522123250.3231, f_measure: 0.7681, kappa: 0.5352, kb_relative_information_score: 236.7614, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.775, predictive_accuracy: 0.7673, prior_entropy: 0.9911, recall: 0.7673, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8447, scimark_benchmark: 941.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, build_cpu_time: 0.0147, build_memory: 1250668843.5077, f_measure: 0.7681, kappa: 0.5352, kb_relative_information_score: 236.7614, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.775, predictive_accuracy: 0.7673, prior_entropy: 0.9911, recall: 0.7673, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8447, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, f_measure: 0.7544, kappa: 0.5042, kb_relative_information_score: 204.5126, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7561, predictive_accuracy: 0.7538, prior_entropy: 0.9911, recall: 0.7538, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9087, scimark_benchmark: 1392.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4378, f_measure: 0.3993, kb_relative_information_score: -1.4447, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.311, predictive_accuracy: 0.5577, prior_entropy: 0.9911, recall: 0.5577, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.002, scimark_benchmark: 1345.5871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.7255, kappa: 0.4448, kb_relative_information_score: 228.4779, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7264, predictive_accuracy: 0.725, prior_entropy: 0.9911, recall: 0.725, relative_absolute_error: 0.5571, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.0559, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.7715, kappa: 0.5465, kb_relative_information_score: 277.3441, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7869, predictive_accuracy: 0.7712, prior_entropy: 0.9911, recall: 0.7712, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4784, root_relative_squared_error: 0.9632, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.7221, kappa: 0.4411, kb_relative_information_score: 192.9609, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7263, predictive_accuracy: 0.7212, prior_entropy: 0.9911, recall: 0.7212, relative_absolute_error: 0.6389, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9708, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4783, f_measure: 0.263, kappa: -0.0386, kb_relative_information_score: -91.1885, mean_absolute_error: 0.5769, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.1908, predictive_accuracy: 0.4231, prior_entropy: 0.9911, recall: 0.4231, relative_absolute_error: 1.1688, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.7596, root_relative_squared_error: 1.5293, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5539, f_measure: 0.5597, kappa: 0.1077, kb_relative_information_score: 53.374, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.5598, predictive_accuracy: 0.5596, prior_entropy: 0.9911, recall: 0.5596, relative_absolute_error: 0.8922, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6636, root_relative_squared_error: 1.3361, scimark_benchmark: 1336.2976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.7393, kappa: 0.4769, kb_relative_information_score: 193.381, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7451, predictive_accuracy: 0.7385, prior_entropy: 0.9911, recall: 0.7385, relative_absolute_error: 0.6502, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9295, scimark_benchmark: 1318.1432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4865, f_measure: 0.4831, kappa: 0.0255, kb_relative_information_score: 4.4633, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.5296, predictive_accuracy: 0.5538, prior_entropy: 0.9911, recall: 0.5538, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5284, root_relative_squared_error: 1.0638, scimark_benchmark: 1316.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.6974, kappa: 0.3855, kb_relative_information_score: 184.0201, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.6971, predictive_accuracy: 0.6981, prior_entropy: 0.9911, recall: 0.6981, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5376, root_relative_squared_error: 1.0824, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7749, kappa: 0.5437, kb_relative_information_score: 167.5284, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7749, predictive_accuracy: 0.775, prior_entropy: 0.9911, recall: 0.775, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8185, scimark_benchmark: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7425, kappa: 0.4786, kb_relative_information_score: 203.2618, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7428, predictive_accuracy: 0.7423, prior_entropy: 0.9911, recall: 0.7423, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8329, scimark_benchmark: 926.6704, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.7135, kappa: 0.4195, kb_relative_information_score: 216.2614, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7136, predictive_accuracy: 0.7135, prior_entropy: 0.9911, recall: 0.7135, relative_absolute_error: 0.5805, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5353, root_relative_squared_error: 1.0778, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7451, kappa: 0.4891, kb_relative_information_score: 217.8476, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7519, predictive_accuracy: 0.7442, prior_entropy: 0.9911, recall: 0.7442, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8252, scimark_benchmark: 1339.3974, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.7621, kappa: 0.5197, kb_relative_information_score: 267.1637, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7638, predictive_accuracy: 0.7615, prior_entropy: 0.9911, recall: 0.7615, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.9832, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3993, kb_relative_information_score: 51.338, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.311, predictive_accuracy: 0.5577, prior_entropy: 0.9911, recall: 0.5577, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6651, root_relative_squared_error: 1.3391, scimark_benchmark: 1372.2145, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.7426, kappa: 0.4766, kb_relative_information_score: 248.8389, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7434, predictive_accuracy: 0.7442, prior_entropy: 0.9911, recall: 0.7442, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5057, root_relative_squared_error: 1.0183, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.6778, kappa: 0.3498, kb_relative_information_score: 194.998, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.6799, predictive_accuracy: 0.6769, prior_entropy: 0.9911, recall: 0.6769, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.8818, scimark_benchmark: 1363.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.7354, kappa: 0.4673, kb_relative_information_score: 164.4223, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7389, predictive_accuracy: 0.7346, prior_entropy: 0.9911, recall: 0.7346, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8675, scimark_benchmark: 1324.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7639, kappa: 0.5229, kb_relative_information_score: 251.4444, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7651, predictive_accuracy: 0.7635, prior_entropy: 0.9911, recall: 0.7635, relative_absolute_error: 0.5213, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9069, scimark_benchmark: 934.1747, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7639, kappa: 0.5225, kb_relative_information_score: 260.9827, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7647, predictive_accuracy: 0.7635, prior_entropy: 0.9911, recall: 0.7635, relative_absolute_error: 0.4999, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9166, scimark_benchmark: 916.6405, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.7638, kappa: 0.522, kb_relative_information_score: 261.6506, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7644, predictive_accuracy: 0.7635, prior_entropy: 0.9911, recall: 0.7635, relative_absolute_error: 0.4968, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9345, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.7675, kappa: 0.5294, kb_relative_information_score: 271.4749, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7679, predictive_accuracy: 0.7673, prior_entropy: 0.9911, recall: 0.7673, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9415, scimark_benchmark: 930.5999, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.7734, kappa: 0.5413, kb_relative_information_score: 276.6216, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7738, predictive_accuracy: 0.7731, prior_entropy: 0.9911, recall: 0.7731, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9512, scimark_benchmark: 1304.9611, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7371, kappa: 0.4691, kb_relative_information_score: 239.4246, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7387, predictive_accuracy: 0.7365, prior_entropy: 0.9911, recall: 0.7365, relative_absolute_error: 0.5377, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.9582, scimark_benchmark: 924.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.5744, kappa: 0.1346, kb_relative_information_score: 54.389, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.5735, predictive_accuracy: 0.5769, prior_entropy: 0.9911, recall: 0.5769, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9937, scimark_benchmark: 1315.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.5825, kappa: 0.1508, kb_relative_information_score: 50.3783, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.5821, predictive_accuracy: 0.5865, prior_entropy: 0.9911, recall: 0.5865, relative_absolute_error: 0.9107, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9905, scimark_benchmark: 1313.5726, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7098, kappa: 0.4122, kb_relative_information_score: 101.6757, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.71, predictive_accuracy: 0.7096, prior_entropy: 0.9911, recall: 0.7096, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8869, scimark_benchmark: 1363.454, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.771, kappa: 0.5355, kb_relative_information_score: 233.2241, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7709, predictive_accuracy: 0.7712, prior_entropy: 0.9911, recall: 0.7712, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8884, scimark_benchmark: 882.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7135, kappa: 0.4195, kb_relative_information_score: 101.3807, mean_absolute_error: 0.4129, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7136, predictive_accuracy: 0.7135, prior_entropy: 0.9911, recall: 0.7135, relative_absolute_error: 0.8366, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.882, scimark_benchmark: 1318.8785, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.5838, kappa: 0.155, kb_relative_information_score: 57.231, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.5832, predictive_accuracy: 0.5846, prior_entropy: 0.9911, recall: 0.5846, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9976, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.771, kappa: 0.5355, kb_relative_information_score: 233.2241, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7709, predictive_accuracy: 0.7712, prior_entropy: 0.9911, recall: 0.7712, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8884, scimark_benchmark: 944.0517, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.77, kappa: 0.5389, kb_relative_information_score: 236.0187, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7766, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8452, scimark_benchmark: 1327.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.7423, kappa: 0.4777, kb_relative_information_score: 239.1082, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7423, predictive_accuracy: 0.7423, prior_entropy: 0.9911, recall: 0.7423, relative_absolute_error: 0.5426, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9123, scimark_benchmark: 1352.2099, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.771, kappa: 0.5355, kb_relative_information_score: 233.2241, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7709, predictive_accuracy: 0.7712, prior_entropy: 0.9911, recall: 0.7712, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8884, scimark_benchmark: 1334.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.7502, kappa: 0.4942, kb_relative_information_score: 258.3823, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7505, predictive_accuracy: 0.75, prior_entropy: 0.9911, recall: 0.75, relative_absolute_error: 0.5002, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9612, scimark_benchmark: 1064.8317, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7833, kappa: 0.5629, kb_relative_information_score: 265.9949, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7855, predictive_accuracy: 0.7827, prior_entropy: 0.9911, recall: 0.7827, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8837, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7833, kappa: 0.5629, kb_relative_information_score: 265.9949, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7855, predictive_accuracy: 0.7827, prior_entropy: 0.9911, recall: 0.7827, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8837, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.7699, kappa: 0.5368, kb_relative_information_score: 272.3076, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7734, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9439, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.77, kappa: 0.5389, kb_relative_information_score: 236.0187, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7766, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8452, scimark_benchmark: 1278.6629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7192, kappa: 0.4309, kb_relative_information_score: 218.5389, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7192, predictive_accuracy: 0.7192, prior_entropy: 0.9911, recall: 0.7192, relative_absolute_error: 0.5766, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9616, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7833, kappa: 0.5629, kb_relative_information_score: 265.9949, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7855, predictive_accuracy: 0.7827, prior_entropy: 0.9911, recall: 0.7827, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8837, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7833, kappa: 0.5629, kb_relative_information_score: 265.9949, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7855, predictive_accuracy: 0.7827, prior_entropy: 0.9911, recall: 0.7827, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8837, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.771, kappa: 0.5355, kb_relative_information_score: 233.2241, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7709, predictive_accuracy: 0.7712, prior_entropy: 0.9911, recall: 0.7712, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8884, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7833, kappa: 0.5629, kb_relative_information_score: 265.9949, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7855, predictive_accuracy: 0.7827, prior_entropy: 0.9911, recall: 0.7827, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8837, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.7489, kappa: 0.4968, kb_relative_information_score: 218.9381, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7558, predictive_accuracy: 0.7481, prior_entropy: 0.9911, recall: 0.7481, relative_absolute_error: 0.5907, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8323, scimark_benchmark: 1384.4422, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.7406, kappa: 0.4745, kb_relative_information_score: 235.9085, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7408, predictive_accuracy: 0.7404, prior_entropy: 0.9911, recall: 0.7404, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9186, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.77, kappa: 0.5389, kb_relative_information_score: 236.0187, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7766, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8452, scimark_benchmark: 1348.2476,

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