DEVELOPMENT... OpenML
Run
22509

Run 22509

Task 37 (Supervised Classification) diabetes Uploaded 22-06-2014 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)_I10
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
0.6551
Per class
F measure
0.6863
Per class
Kappa
0.31
KB relative information score
215.9197
Mean absolute error
0.3138
Mean prior absolute error
0.4545
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6865
Per class
Predictive accuracy
0.6862
Prior entropy
0.9335
Recall
0.6862
Per class
Relative absolute error
0.6904
Root mean prior squared error
0.4766
Root mean squared error
0.5602
Root relative squared error
1.1753
SciMark benchmark
939.0798[553.55145265954061008.8769222028267475.94943151753284895.30055461308191761.7204843045454]