DEVELOPMENT... OpenML
Run
15482

Run 15482

Task 27 (Supervised Classification) colic Uploaded 04-06-2014 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)_I10
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
0.8492
Per class
F measure
0.8375
Per class
Kappa
0.6479
KB relative information score
236.971
Mean absolute error
0.1611
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
0.8384
Per class
Predictive accuracy
0.8397
Prior entropy
0.9509
Recall
0.8397
Per class
Relative absolute error
0.3455
Root mean prior squared error
0.4827
Root mean squared error
0.3959
Root relative squared error
0.8202
SciMark benchmark
942.3854[559.76915123019011014.4538012229739481.0671525802613897.75340120097631758.8835103978397]