Run
16608

Run 16608

Task 2065 (Supervised Classification) primary-tumor Uploaded 04-06-2014 by Joaquin Vanschoren
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Flow

weka.ClassificationViaRegression_M5P(1)E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
weka.ClassificationViaRegression_M5P(1)_Wweka.classifiers.trees.M5P
weka.M5P(1)_M4.0

Result files

xml
Description

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

arff
Predictions

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

19 Evaluation measures

Area under ROC curve
0.7968
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3851
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3559
Cross-validation details (10-fold Crossvalidation)
KB relative information score
111.265
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0655
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0812
Cross-validation details (10-fold Crossvalidation)
Number of instances
339
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3624
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4454
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.7542
Cross-validation details (10-fold Crossvalidation)
Recall
0.4454
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8072
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2011
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1804
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8973
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
576.6402[334.6586100816185904.2491647377733233.93069713548087496.48487359389475913.8777588227376]