DEVELOPMENT... OpenML
Run
144427

Run 144427

Task 3734 (Supervised Classification) fri_c1_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
0.9521
Per class
F measure
0.8818
Per class
Kappa
0.7622
KB relative information score
376.6485
Mean absolute error
0.1238
Mean prior absolute error
0.4977
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
0.8824
Per class
Predictive accuracy
0.882
Prior entropy
0.9967
Recall
0.882
Per class
Relative absolute error
0.2487
Root mean prior squared error
0.4988
Root mean squared error
0.3155
Root relative squared error
0.6324
SciMark benchmark
945.6434
UserCPU time millis
150
UserCPU time millis training
150