DEVELOPMENT... OpenML
Run
144473

Run 144473

Task 3779 (Supervised Classification) fri_c3_100_5 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
0.9004
Per class
F measure
0.8292
Per class
Kappa
0.6525
KB relative information score
67.4803
Mean absolute error
0.1579
Mean prior absolute error
0.4929
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.83
Per class
Predictive accuracy
0.83
Prior entropy
0.99
Recall
0.83
Per class
Relative absolute error
0.3204
Root mean prior squared error
0.4964
Root mean squared error
0.3833
Root relative squared error
0.7721
SciMark benchmark
931.4202
UserCPU time millis
30
UserCPU time millis training
30