Run
436970

Run 436970

Task 94 (Learning Curve) dermatology Uploaded 13-05-2015 by Joaquin Vanschoren
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Flow

weka.LADTree(4)Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass alternating decision trees. In: ECML, 161-172, 2001.
weka.LADTree(4)_B10

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
0.9944 ± 0.0088
Per class
F measure
0.9566 ± 0.033
Per class
Kappa
0.9456 ± 0.0402
KB relative information score
0.9343 ± 0.0334
Mean absolute error
0.0236 ± 0.0093
Mean prior absolute error
0.2664 ± 0.0004
Number of instances
3660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9568 ± 0.0265
Per class
Predictive accuracy
0.9566 ± 0.0321
Prior entropy
2.4327 ± 0.0089
Recall
0.9566 ± 0.0321
Per class
Relative absolute error
0.0886 ± 0.0348
Root mean prior squared error
0.3649 ± 0.0006
Root mean squared error
0.1089 ± 0.0417
Root relative squared error
0.2983 ± 0.1142
SciMark benchmark
938.7716
UserCPU time millis
450
UserCPU time millis training
450