=== Run information ===
Scheme: weka.classifiers.trees.REPTree -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0
Relation: pima_diabetes
Instances: 768
Attributes: 9
preg
plas
pres
skin
insu
mass
pedi
age
class
Test mode: evaluate on training data
=== Classifier model (full training set) ===
REPTree
plas < 139.5
| mass < 26.3 : tested_negative (101/3) [44/2]
| mass >= 26.3
| | plas < 94.5 : tested_negative (65/3) [42/8]
| | plas >= 94.5
| | | pedi < 0.53
| | | | age < 27.5 : tested_negative (62/9) [29/6]
| | | | age >= 27.5
| | | | | age < 53.5
| | | | | | pedi < 0.14 : tested_negative (6/0) [0/0]
| | | | | | pedi >= 0.14
| | | | | | | mass < 43.1
| | | | | | | | pres < 85
| | | | | | | | | pedi < 0.49
| | | | | | | | | | mass < 30.6
| | | | | | | | | | | plas < 124.5 : tested_positive (7/0) [7/3]
| | | | | | | | | | | plas >= 124.5
| | | | | | | | | | | | preg < 4.5 : tested_positive (2/0) [1/0]
| | | | | | | | | | | | preg >= 4.5 : tested_negative (3/1) [1/0]
| | | | | | | | | | mass >= 30.6
| | | | | | | | | | | age < 30.5 : tested_negative (10/0) [3/0]
| | | | | | | | | | | age >= 30.5 : tested_positive (27/12) [19/9]
| | | | | | | | | pedi >= 0.49 : tested_negative (4/0) [1/0]
| | | | | | | | pres >= 85 : tested_negative (11/0) [7/2]
| | | | | | | mass >= 43.1 : tested_positive (5/0) [1/1]
| | | | | age >= 53.5 : tested_negative (8/0) [3/1]
| | | pedi >= 0.53
| | | | age < 26.5 : tested_negative (26/8) [8/2]
| | | | age >= 26.5
| | | | | insu < 116
| | | | | | pedi < 0.67 : tested_positive (6/0) [6/2]
| | | | | | pedi >= 0.67
| | | | | | | pedi < 0.73 : tested_negative (4/0) [3/0]
| | | | | | | pedi >= 0.73 : tested_positive (14/5) [8/2]
| | | | | insu >= 116 : tested_positive (15/0) [12/8]
plas >= 139.5
| plas < 166.5
| | preg < 6.5
| | | pedi < 0.33 : tested_negative (22/5) [10/5]
| | | pedi >= 0.33
| | | | preg < 5.5
| | | | | insu < 422.5 : tested_positive (28/8) [13/6]
| | | | | insu >= 422.5 : tested_negative (2/0) [1/0]
| | | | preg >= 5.5 : tested_negative (5/1) [0/0]
| | preg >= 6.5
| | | mass < 29 : tested_negative (6/3) [1/0]
| | | mass >= 29 : tested_positive (21/0) [9/4]
| plas >= 166.5 : tested_positive (52/6) [27/5]
Size of the tree : 49
Time taken to build model: 0.09 seconds
=== Evaluation on training set ===
Time taken to test model on training data: 0.14 seconds
=== Summary ===
Correctly Classified Instances 638 83.0729 %
Incorrectly Classified Instances 130 16.9271 %
Kappa statistic 0.6313
Mean absolute error 0.2498
Root mean squared error 0.3534
Relative absolute error 54.97 %
Root relative squared error 74.1514 %
Total Number of Instances 768
=== Detailed Accuracy By Class ===
TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class
0,858 0,220 0,879 0,858 0,868 0,632 0,885 0,922 tested_negative
0,780 0,142 0,746 0,780 0,763 0,632 0,885 0,778 tested_positive
Weighted Avg. 0,831 0,193 0,833 0,831 0,832 0,632 0,885 0,872
=== Confusion Matrix ===
a b <-- classified as
429 71 | a = tested_negative
59 209 | b = tested_positive