DEVELOPMENT... OpenML
Run
23939

Run 23939

Task 27 (Supervised Classification) colic Uploaded 29-06-2014 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)_I40
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
0.8572
Per class
F measure
0.8436
Per class
Kappa
0.6619
KB relative information score
240.3015
Mean absolute error
0.1572
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
0.8438
Per class
Predictive accuracy
0.8451
Prior entropy
0.9509
Recall
0.8451
Per class
Relative absolute error
0.3372
Root mean prior squared error
0.4827
Root mean squared error
0.3935
Root relative squared error
0.8152
SciMark benchmark
946.0603[561.7522155508621015.5230404536866484.10363182779514911.17132945493631757.7512505720342]