DEVELOPMENT... OpenML
Run
22493

Run 22493

Task 27 (Supervised Classification) colic Uploaded 22-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_LMT(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0
weka.MultiBoostAB_LMT(1)_C3
weka.MultiBoostAB_LMT(1)_I20
weka.MultiBoostAB_LMT(1)_P100
weka.MultiBoostAB_LMT(1)_S1
weka.MultiBoostAB_LMT(1)_Wweka.classifiers.trees.LMT

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
0.8542
Per class
F measure
0.8207
Per class
Kappa
0.6151
KB relative information score
222.5164
Mean absolute error
0.1786
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8207
Per class
Predictive accuracy
0.8207
Prior entropy
0.9509
Recall
0.8207
Per class
Relative absolute error
0.3831
Root mean prior squared error
0.4827
Root mean squared error
0.4166
Root relative squared error
0.8632
SciMark benchmark
901.727[558.87235220088451013.1203667026068483.449727694041907.38658326225751545.8062114709592]