DEVELOPMENT... OpenML
Run
144307

Run 144307

Task 3612 (Supervised Classification) fri_c1_250_25 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
0.9553
Per class
F measure
0.9079
Per class
Kappa
0.8119
KB relative information score
196.5625
Mean absolute error
0.1048
Mean prior absolute error
0.4897
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9079
Per class
Predictive accuracy
0.908
Prior entropy
0.9852
Recall
0.908
Per class
Relative absolute error
0.214
Root mean prior squared error
0.4948
Root mean squared error
0.3023
Root relative squared error
0.611
SciMark benchmark
935.8986
UserCPU time millis
300
UserCPU time millis training
300