Run
225986

Run 225986

Task 2111 (Supervised Classification) primary-tumor Uploaded 01-03-2015 by Joaquin Vanschoren
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Flow

weka.IB1(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

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
0.6543
Per class
Cross-validation details (33% Holdout set)
F measure
0.3621
Per class
Cross-validation details (33% Holdout set)
Kappa
0.2946
Cross-validation details (33% Holdout set)
KB relative information score
32.1046
Cross-validation details (33% Holdout set)
Mean absolute error
0.0565
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.0811
Cross-validation details (33% Holdout set)
Number of instances
111
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
0.3669
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.3784
Cross-validation details (33% Holdout set)
Prior entropy
3.7542
Cross-validation details (33% Holdout set)
Recall
0.3784
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.6964
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.2009
Cross-validation details (33% Holdout set)
Root mean squared error
0.2377
Cross-validation details (33% Holdout set)
Root relative squared error
1.1831
Cross-validation details (33% Holdout set)
SciMark benchmark
915.6729
UserCPU time millis
60
Cross-validation details (33% Holdout set)
UserCPU time millis testing
60
Cross-validation details (33% Holdout set)