Run
24153

Run 24153

Task 69 (Learning Curve) lymph 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
0.7892 ± 0.132
Per class
F measure
0.7655 ± 0.1248
Per class
Kappa
0.5579 ± 0.2369
KB relative information score
0.5176 ± 0.2125
Mean absolute error
0.133 ± 0.0553
Mean prior absolute error
0.2677 ± 0.0075
Number of instances
1480
Per class
OS information
[Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.32-desktop]
Precision
0.7676 ± 0.1207
Per class
Predictive accuracy
0.7642 ± 0.1277
Prior entropy
1.2302 ± 0.1357
Recall
0.7642 ± 0.1277
Per class
Relative absolute error
0.4968 ± 0.2023
Root mean prior squared error
0.3639 ± 0.0103
Root mean squared error
0.3162 ± 0.0878
Root relative squared error
0.8688 ± 0.2353
SciMark benchmark
1951.8137[1212.11996336647371635.091146371386917.33609279086661711.12264297255024283.398772907857]