DEVELOPMENT... OpenML
Run
19830

Run 19830

Task 57 (Supervised Classification) ionosphere Uploaded 17-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_RandomForest(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomForest(1)_C3
weka.MultiBoostAB_RandomForest(1)_I160
weka.MultiBoostAB_RandomForest(1)_P100
weka.MultiBoostAB_RandomForest(1)_S1
weka.MultiBoostAB_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

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
0.9175
Per class
F measure
0.9336
Per class
Kappa
0.8543
KB relative information score
299.0618
Mean absolute error
0.0655
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9356
Per class
Predictive accuracy
0.9345
Prior entropy
0.9425
Recall
0.9345
Per class
Relative absolute error
0.1423
Root mean prior squared error
0.4797
Root mean squared error
0.256
Root relative squared error
0.5336
SciMark benchmark
891.2777[534.2238013251371957.7310773479171451.3416307840048858.64396427391661654.4480877569088]