DEVELOPMENT... OpenML
Run
144464

Run 144464

Task 3766 (Supervised Classification) fri_c2_1000_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
0.963
Per class
F measure
0.9029
Per class
Kappa
0.8024
KB relative information score
784.3044
Mean absolute error
0.107
Mean prior absolute error
0.4921
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9029
Per class
Predictive accuracy
0.903
Prior entropy
0.9886
Recall
0.903
Per class
Relative absolute error
0.2174
Root mean prior squared error
0.496
Root mean squared error
0.2855
Root relative squared error
0.5757
SciMark benchmark
931.4202
UserCPU time millis
1470
UserCPU time millis testing
10
UserCPU time millis training
1460