Time taken to test model on training data: 0.47 seconds === Error on training data === Correctly Classified Instances 64 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.24 Root mean squared error 0.3161 Relative absolute error 80 % Root relative squared error 81.822 % Total Number of Instances 64 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 Bone_Marrow_CD34 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 Bone_Marrow 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 AML 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 PB 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 PBSC_CD34 Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b c d e <-- classified as 8 0 0 0 0 | a = Bone_Marrow_CD34 0 10 0 0 0 | b = Bone_Marrow 0 0 26 0 0 | c = AML 0 0 0 10 0 | d = PB 0 0 0 0 10 | e = PBSC_CD34 Time taken to perform cross-validation: 1.13 seconds === Stratified cross-validation === Correctly Classified Instances 63 98.4375 % Incorrectly Classified Instances 1 1.5625 % Kappa statistic 0.9792 Mean absolute error 0.2406 Root mean squared error 0.3171 Relative absolute error 79.9117 % Root relative squared error 81.9237 % Total Number of Instances 64 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 Bone_Marrow_CD34 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 Bone_Marrow 0,962 0,000 1,000 0,962 0,980 0,968 0,986 0,980 AML 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 PB 1,000 0,019 0,909 1,000 0,952 0,945 0,991 0,909 PBSC_CD34 Weighted Avg. 0,984 0,003 0,986 0,984 0,985 0,978 0,993 0,978 === Confusion Matrix === a b c d e <-- classified as 8 0 0 0 0 | a = Bone_Marrow_CD34 0 10 0 0 0 | b = Bone_Marrow 0 0 25 0 1 | c = AML 0 0 0 10 0 | d = PB 0 0 0 0 10 | e = PBSC_CD34