DEVELOPMENT... OpenML
Run
144398

Run 144398

Task 3705 (Supervised Classification) autoHorse Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.9938
Per class
F measure
0.9804
Per class
Kappa
0.9594
KB relative information score
181.0699
Mean absolute error
0.0634
Mean prior absolute error
0.4821
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9806
Per class
Predictive accuracy
0.9805
Prior entropy
0.9742
Recall
0.9805
Per class
Relative absolute error
0.1315
Root mean prior squared error
0.4909
Root mean squared error
0.159
Root relative squared error
0.324
SciMark benchmark
935.8986
UserCPU time millis
10
UserCPU time millis training
10