Run
503510

Run 503510

Task 2094 (Learning Curve) adult Uploaded 28-12-2015 by Jan van Rijn
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Flow

weka.AdaBoostM1_J48(3)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.J48(33)_C0.25
weka.J48(33)_M2
weka.AdaBoostM1_J48(3)_P100
weka.AdaBoostM1_J48(3)_S1
weka.AdaBoostM1_J48(3)_I10
weka.AdaBoostM1_J48(3)_Wweka.classifiers.trees.J48

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
0.8719 ± 0.0047
Per class
F measure
0.8208 ± 0.0047
Per class
Kappa
0.502 ± 0.0146
KB relative information score
21531.04 ± 80.6664
Mean absolute error
0.1802 ± 0.0053
Mean prior absolute error
0.3641 ± 0
Number of instances
48842
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.8191 ± 0.005
Per class
Predictive accuracy
0.823 ± 0.0041
Prior entropy
0.7939
Recall
0.823 ± 0.0041
Per class
Relative absolute error
0.4951 ± 0.0147
Root mean prior squared error
0.4266 ± 0.0001
Root mean squared error
0.4012 ± 0.0064
Root relative squared error
0.9403 ± 0.015
SciMark benchmark
1317.3998
UserCPU time millis
39340
UserCPU time millis testing
440
UserCPU time millis training
38900