Showing Predictor "DBCD"

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Regularization: L2	Tuning Score: avg log-likelihood loss
Time Points: 18	Tune Parameters: true
Feature Selection: false	Include Sibling Features: false
Standardize: true	Run Cross-Validation: true
Objective Function: log-likelihood	Marginal Loss Type: weighted
Use pre-defined Fold: No

Results
Start Time: 2016-10-21 11:24:10 -0600	Used Time: 31 minutes
Label Name: time	C Parameter: 100.0
PSSP model: mtlr_model_file2372.mtlr	Version: 0.0.3

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Cross-validation results

5-Fold Cross-Validation Statistics*
Measure	PSSP Predictor (median)	PSSP Predictor (mean)	K-M Predictor
Concordance Index	0.74 ± 0.06	0.74 ± 0.06	0.5 ± 0.0
Hinged L1 Loss	2.54 ± 0.24		3.27 ± 0.22
Uncensored L1 loss	8.11 ± 0.64	8.1 ± 0.23	12.1 ± 0.82
Marginal L1 Loss	4.28 ± 0.65	4.31 ± 0.44	5.57 ± 0.61
Marginal L2 Loss	N / A
Hinged L1 Log-Loss	0.34 ± 0.03	0.32 ± 0.01	0.38 ± 0.02
Uncensored L1 Log-Loss	1.1 ± 0.08	1.13 ± 0.04	1.41 ± 0.07
Marginal L1 Log-Loss	0.5 ± 0.08	0.5 ± 0.04	0.58 ± 0.04
Log-Likelihood Loss	2.14 ± 0.19
D-calibration χ² statistics	9.81 ± 2.24		1.11 ± 0.64
D-calibration χ² p-value	0.94 ± 0.04		1.0 ± 0.0

*Mean value ± standard deviation.

Examine Classification Accuracy