Run
24149

Run 24149

Task 65 (Learning Curve) arrhythmia Uploaded 30-06-2014 by Jan van Rijn
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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
0.735 ± 0.0508
Per class
F measure
0.6461 ± 0.0545
Per class
Kappa
0.4831 ± 0.0915
KB relative information score
0.4605 ± 0.088
Mean absolute error
0.0471 ± 0.0075
Mean prior absolute error
0.0855 ± 0.0007
Number of instances
4520
Per class
OS information
[Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.32-desktop]
Precision
0.6372 ± 0.0607
Per class
Predictive accuracy
0.6566 ± 0.0644
Prior entropy
2.4124 ± 0.056
Recall
0.6566 ± 0.0644
Per class
Relative absolute error
0.5501 ± 0.086
Root mean prior squared error
0.2055 ± 0.0018
Root mean squared error
0.1969 ± 0.0187
Root relative squared error
0.9584 ± 0.0892
SciMark benchmark
1951.8137[1212.11996336647371635.091146371386917.33609279086661711.12264297255024283.398772907857]