Run
9477

Run 9477

Task 10 (Supervised Classification) lymph Uploaded 22-05-2014 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
0.9134
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8184
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6632
Cross-validation details (10-fold Crossvalidation)
KB relative information score
86.0942
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1218
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2677
Cross-validation details (10-fold Crossvalidation)
Number of instances
148
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
0.8128
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8243
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2818
Cross-validation details (10-fold Crossvalidation)
Recall
0.8243
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4551
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3639
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2492
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6847
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
949.034[565.57740346189041016.0585376856843484.9782432137119916.26701994949291762.2889234168845]