Run
385807

Run 385807

Task 287 (Supervised Classification) ionosphere Uploaded 05-04-2015 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
0.9793
Per class
Cross-validation details (33% Holdout set)
F measure
0.9475
Per class
Cross-validation details (33% Holdout set)
Kappa
0.8821
Cross-validation details (33% Holdout set)
KB relative information score
86.8594
Cross-validation details (33% Holdout set)
Mean absolute error
0.1177
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4549
Cross-validation details (33% Holdout set)
Number of instances
115
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
0.9478
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9478
Cross-validation details (33% Holdout set)
Prior entropy
0.9425
Cross-validation details (33% Holdout set)
Recall
0.9478
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.2588
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4739
Cross-validation details (33% Holdout set)
Root mean squared error
0.2069
Cross-validation details (33% Holdout set)
Root relative squared error
0.4367
Cross-validation details (33% Holdout set)
SciMark benchmark
928.8135
UserCPU time millis
170
Cross-validation details (33% Holdout set)
UserCPU time millis testing
10
UserCPU time millis training
160
Cross-validation details (33% Holdout set)