DEVELOPMENT... OpenML
Run
24664

Run 24664

Task 2065 (Supervised Classification) primary-tumor Uploaded 15-07-2014 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)_I40
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
0.7537
Per class
F measure
0.3646
Per class
Kappa
0.2907
KB relative information score
84.0208
Mean absolute error
0.0686
Mean prior absolute error
0.0812
Number of instances
339
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3598
Per class
Predictive accuracy
0.3717
Prior entropy
3.7542
Recall
0.3717
Per class
Relative absolute error
0.8446
Root mean prior squared error
0.2011
Root mean squared error
0.192
Root relative squared error
0.9548
SciMark benchmark
942.7451[565.94439658822851011.7904963405887476.37171629653386905.8189190131481753.8001309030865]