Run
24154

Run 24154

Task 70 (Learning Curve) balance-scale Uploaded 30-06-2014 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.J48(1)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(1)_C0.25
weka.J48(1)_M2

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8251 ± 0.0403
Per class
F measure
0.7631 ± 0.0384
Per class
Kappa
0.6014 ± 0.0719
KB relative information score
0.5177 ± 0.0598
Mean absolute error
0.1772 ± 0.0251
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
6250
Per class
OS information
[Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.32-desktop]
Precision
0.7479 ± 0.0388
Per class
Predictive accuracy
0.779 ± 0.0424
Prior entropy
1.3181 ± 0.0119
Recall
0.779 ± 0.0424
Per class
Relative absolute error
0.4666 ± 0.0658
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3575 ± 0.0327
Root relative squared error
0.8207 ± 0.0749
SciMark benchmark
1951.8137[1212.11996336647371635.091146371386917.33609279086661711.12264297255024283.398772907857]