$aml [1] 0.3336064 $error.rate [1] 0.0967742 $mse [1] 0.08788624 $summary.pred category no meanprob prop1 1 0-0.1 23 0.04413751 0.1304348 2 0.1-0.2 0 NaN NaN 3 0.2-0.3 2 0.24069337 1.0000000 4 0.3-0.4 1 0.31355961 0.0000000 5 0.4-0.5 0 NaN NaN 6 0.5-0.6 0 NaN NaN 7 0.6-0.7 0 NaN NaN 8 0.7-0.8 5 0.73453617 1.0000000 9 0.8-0.9 0 NaN NaN 10 0.9-1 31 0.98068848 0.9677419 $prediction true pred wrong prob.pred [1,] 0 0 0 0.04635937 [2,] 0 0 0 0.04635937 [3,] 0 0 0 0.04635937 [4,] 0 0 0 0.04635937 [5,] 0 0 0 0.04635937 [6,] 0 0 0 0.04635937 [7,] 0 0 0 0.04635937 [8,] 0 0 0 0.04635937 [9,] 0 0 0 0.04635937 [10,] 0 0 0 0.04635937 [11,] 0 0 0 0.04635937 [12,] 0 0 0 0.04635937 [13,] 0 0 0 0.04635937 [14,] 0 0 0 0.04635937 [15,] 0 0 0 0.04635937 [16,] 0 0 0 0.04635937 [17,] 0 0 0 0.31355961 [18,] 0 0 0 0.04635937 [19,] 0 0 0 0.04635937 [20,] 0 1 1 0.97746213 [21,] 0 0 0 0.04635937 [22,] 0 0 0 0.04635937 [23,] 1 1 0 0.95950042 [24,] 1 0 1 0.24069337 [25,] 1 1 0 0.99499310 [26,] 1 1 0 0.99499310 [27,] 1 1 0 0.73453617 [28,] 1 1 0 0.99499310 [29,] 1 1 0 0.95950042 [30,] 1 1 0 0.99499310 [31,] 1 1 0 0.95950042 [32,] 1 1 0 0.95950042 [33,] 1 1 0 0.95950042 [34,] 1 1 0 0.99499310 [35,] 1 1 0 0.99499310 [36,] 1 1 0 0.99499310 [37,] 1 1 0 0.95950042 [38,] 1 1 0 0.99499310 [39,] 1 0 1 0.24069337 [40,] 1 1 0 0.99499310 [41,] 1 1 0 0.99499310 [42,] 1 1 0 0.99499310 [43,] 1 1 0 0.95950042 [44,] 1 1 0 0.99499310 [45,] 1 0 1 0.02932515 [46,] 1 1 0 0.99499310 [47,] 1 1 0 0.99499310 [48,] 1 1 0 0.73453617 [49,] 1 0 1 0.02932515 [50,] 1 1 0 0.73453617 [51,] 1 1 0 0.99499310 [52,] 1 1 0 0.99499310 [53,] 1 1 0 0.95950042 [54,] 1 1 0 0.95950042 [55,] 1 1 0 0.99499310 [56,] 1 0 1 0.02932515 [57,] 1 1 0 0.95950042 [58,] 1 1 0 0.95950042 [59,] 1 1 0 0.95950042 [60,] 1 1 0 0.73453617 [61,] 1 1 0 0.99499310 [62,] 1 1 0 0.73453617 $features feature.1 feature.2 feature.3 feature.4 cutoff 1 514 1636 378 494 0.6675302 2 514 1636 378 494 0.6675302 3 514 1636 378 494 0.6675302 4 514 1636 378 494 0.6675302 5 514 1636 378 494 0.6675302 6 514 1636 378 494 0.6675302 7 514 1636 378 494 0.6675302 8 514 1636 378 494 0.6675302 9 514 1636 378 494 0.6675302 10 514 1636 378 494 0.6675302 11 514 1636 378 494 0.6675302 12 514 1636 378 494 0.6675302 13 514 1636 378 494 0.6675302 14 514 1636 378 494 0.6675302 15 514 1636 378 494 0.6675302 16 514 1636 378 494 0.6675302 17 378 514 1636 494 0.6675302 18 514 1636 378 494 0.6675302 19 514 1636 378 494 0.6675302 20 494 514 1636 378 0.6675302 21 514 1636 378 494 0.6675302 22 514 1636 378 494 0.6675302 23 1636 378 494 514 0.6705663 24 514 378 494 1636 0.6705663 25 378 494 514 1636 0.6705663 26 378 494 514 1636 0.6705663 27 514 1636 378 494 0.6705663 28 378 494 514 1636 0.6705663 29 514 378 494 1636 0.6705663 30 378 494 514 1636 0.6705663 31 514 378 494 1636 0.6705663 32 1636 378 494 514 0.6705663 33 1636 378 494 514 0.6705663 34 378 494 514 1636 0.6705663 35 378 494 514 1636 0.6705663 36 378 494 514 1636 0.6705663 37 514 378 494 1636 0.6705663 38 378 494 514 1636 0.6705663 39 1636 378 494 514 0.6705663 40 378 494 514 1636 0.6705663 41 378 494 514 1636 0.6705663 42 378 494 514 1636 0.6705663 43 494 378 514 1636 0.6705663 44 378 494 514 1636 0.6705663 45 1636 378 494 514 0.6951947 46 378 494 514 1636 0.6705663 47 378 494 514 1636 0.6705663 48 378 494 514 1636 0.6705663 49 1636 378 494 514 0.6951947 50 378 494 514 1636 0.6705663 51 378 494 514 1636 0.6705663 52 378 494 514 1636 0.6705663 53 514 378 494 1636 0.6705663 54 494 378 514 1636 0.6705663 55 378 494 514 1636 0.6705663 56 1636 378 494 514 0.6951947 57 514 378 494 1636 0.6705663 58 378 494 514 1636 0.6705663 59 1636 378 494 514 0.6705663 60 378 494 514 1636 0.6705663 61 378 494 514 1636 0.6705663 62 1636 378 494 514 0.6705663