Run
64879

Run 64879

Task 1717 (Learning Curve) mfeat-morphological Uploaded 18-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_LWL_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(2)_C3
weka.MultiBoostAB_LWL_DecisionStump(2)_P100
weka.MultiBoostAB_LWL_DecisionStump(2)_S1
weka.MultiBoostAB_LWL_DecisionStump(2)_I10
weka.MultiBoostAB_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL

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.

19 Evaluation measures

Area under ROC curve
0.9396 ± 0.0057
Per class
Build CPU time
5.0828
Build memory
816975894.7636
Kappa
0.6661 ± 0.0218
KB relative information score
0.3704 ± 0.0031
Mean absolute error
0.1518 ± 0.0004
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.6995 ± 0.0196
Prior entropy
3.3219
Recall
0.6995 ± 0.0196
Per class
Relative absolute error
0.8436 ± 0.0021
Root mean prior squared error
0.3
Root mean squared error
0.269 ± 0.0006
Root relative squared error
0.8967 ± 0.0019
SciMark benchmark
1605.1864