Run
296848

Run 296848

Task 94 (Learning Curve) dermatology Uploaded 17-03-2015 by Joaquin Vanschoren
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Flow

weka.DecisionTable_BestFirst(5)Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
weka.DecisionTable_BestFirst(5)_Sweka.attributeSelection.BestFirst
weka.DecisionTable_BestFirst(5)_X1
weka.BestFirst(3)_D1
weka.BestFirst(3)_N5

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

22 Evaluation measures

Area under ROC curve
0.9525 ± 0.0241
Per class
F measure
0.8657 ± 0.0518
Per class
Kappa
0.8327 ± 0.063
KB relative information score
0.5525 ± 0.0592
Mean absolute error
0.1562 ± 0.0152
Mean prior absolute error
0.2664 ± 0.0004
Number of instances
3660
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8703 ± 0.046
Per class
Predictive accuracy
0.8678 ± 0.0492
Prior entropy
2.4327 ± 0.0089
Recall
0.8678 ± 0.0492
Per class
Relative absolute error
0.586 ± 0.0571
Root mean prior squared error
0.3649 ± 0.0006
Root mean squared error
0.2462 ± 0.0195
Root relative squared error
0.6748 ± 0.0535
SciMark benchmark
1335.3721
UserCPU time millis
140
UserCPU time millis training
140