Run
279716

Run 279716

Task 265 (Supervised Classification) dermatology Uploaded 08-03-2015 by Joaquin Vanschoren
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Flow

weka.RandomForest(5)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(5)_I100
weka.RandomForest(5)_K0
weka.RandomForest(5)_S1
weka.RandomForest(5)_num-slots1

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
0.9986
Per class
Cross-validation details (33% Holdout set)
F measure
0.9665
Per class
Cross-validation details (33% Holdout set)
Kappa
0.9578
Cross-validation details (33% Holdout set)
KB relative information score
103.4036
Cross-validation details (33% Holdout set)
Mean absolute error
0.0547
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2653
Cross-validation details (33% Holdout set)
Number of instances
120
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9676
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9667
Cross-validation details (33% Holdout set)
Prior entropy
2.4378
Cross-validation details (33% Holdout set)
Recall
0.9667
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.2063
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3633
Cross-validation details (33% Holdout set)
Root mean squared error
0.1236
Cross-validation details (33% Holdout set)
Root relative squared error
0.3403
Cross-validation details (33% Holdout set)
SciMark benchmark
937.1527
UserCPU time millis
70
Cross-validation details (33% Holdout set)
UserCPU time millis testing
10
UserCPU time millis training
60
Cross-validation details (33% Holdout set)