DEVELOPMENT... OpenML
Run
23505

Run 23505

Task 11 (Supervised Classification) balance-scale Uploaded 25-06-2014 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)_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
0.9746
Per class
F measure
0.949
Per class
Kappa
0.9101
KB relative information score
555.9151
Mean absolute error
0.0358
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9492
Per class
Predictive accuracy
0.9488
Prior entropy
1.3212
Recall
0.9488
Per class
Relative absolute error
0.0942
Root mean prior squared error
0.4356
Root mean squared error
0.1835
Root relative squared error
0.4213
SciMark benchmark
944.9652[559.05146496477781013.3868112175512487.6211950196388909.27509318503251755.4912331040343]