DEVELOPMENT... OpenML
Run
16757

Run 16757

Task 35 (Supervised Classification) dermatology Uploaded 05-06-2014 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
0.9967
Per class
F measure
0.9616
Per class
Kappa
0.9521
KB relative information score
323.8253
Mean absolute error
0.0482
Mean prior absolute error
0.2664
Number of instances
366
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9615
Per class
Predictive accuracy
0.9617
Prior entropy
2.4378
Recall
0.9617
Per class
Relative absolute error
0.1807
Root mean prior squared error
0.3649
Root mean squared error
0.124
Root relative squared error
0.3399
SciMark benchmark
939.7057[556.7317474007057999.7172495283804482.14720472367435906.13207810932491753.8001309030865]