DEVELOPMENT... OpenML
Run
16770

Run 16770

Task 11 (Supervised Classification) balance-scale Uploaded 05-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I40
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.8402
Per class
F measure
0.7961
Per class
Kappa
0.6222
KB relative information score
349.6968
Mean absolute error
0.1472
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
0.8139
Per class
Predictive accuracy
0.7792
Prior entropy
1.3212
Recall
0.7792
Per class
Relative absolute error
0.3876
Root mean prior squared error
0.4356
Root mean squared error
0.3837
Root relative squared error
0.8808
SciMark benchmark
937.202[546.9553368015218986.4116168953691484.10363182779514910.22218605324211758.3172656914378]

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