DEVELOPMENT... OpenML
Run
144443

Run 144443

Task 3747 (Supervised Classification) fri_c0_500_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
0.948
Per class
F measure
0.872
Per class
Kappa
0.744
KB relative information score
364.9148
Mean absolute error
0.1364
Mean prior absolute error
0.5
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8724
Per class
Predictive accuracy
0.872
Prior entropy
1
Recall
0.872
Per class
Relative absolute error
0.2728
Root mean prior squared error
0.5
Root mean squared error
0.3272
Root relative squared error
0.6544
SciMark benchmark
945.6434
UserCPU time millis
170
UserCPU time millis training
170