DEVELOPMENT... OpenML
Run
144400

Run 144400

Task 3707 (Supervised Classification) analcatdata_runshoes 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
0.6921
Per class
F measure
0.6686
Per class
Kappa
0.3151
KB relative information score
16.7328
Mean absolute error
0.3416
Mean prior absolute error
0.4806
Number of instances
60
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6719
Per class
Predictive accuracy
0.6667
Prior entropy
0.9728
Recall
0.6667
Per class
Relative absolute error
0.7107
Root mean prior squared error
0.4899
Root mean squared error
0.5664
Root relative squared error
1.1562
SciMark benchmark
902.4773
UserCPU time millis
10
UserCPU time millis training
10