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Linear Regression
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Multinomial Logistic Regression
K-means Clustering
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Evaluate Prediction - Binary
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Prediction
Prediction - Binary Classification
Prediction - Survival Model
Simulate Survival Curve
Extract Summary of Fit
Extract Parameter Estimates
Run ANOVA Test
Fix Imbalanced Data (SMOTE)
Text Analysis
Extend with R
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Prediction - Survival Model
Predict with Survival Model.

How to Access This Feature

From + (plus) Button

From a step that creates a Survival Model, you can access this feature from 'Add' (Plus) button. Select one of the 3 "Predict" menus.
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How to Use This Feature

  1. 1.
    With "Data" dropdown, select data to predict on from the following options.
  • Training - Get predicted values on training data.
  • Test - Get predicted values on test data.
  • Data Frame - Get predicted values on other data frame.
  1. 1.
    Select "Type of Prediction" from the following options.
  • Linear Predictor - lp - Risk Score on a log scale.
  • Risk Score - exp(lp) - Score for the risk that the event happens within a unit time for the subject.
  • Expected Number of Events - Number of events that would happen on average for a subject that has same condition as the subject during the time the subject has survived.
  • Status at Specified Time - Predicted status of the subject at the specified time.
  1. 1.
    Select "Type of Residual" from the following options.
  • Martingale
  • Deviance
  • Score
  • Schoenfeld
  • Schoenfeld (Scaled)
  • DFBETA
  • DFBETA (Scaled)
  1. 1.
    Click "Run" button to run the prediction.
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Prediction - Binary Classification
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Simulate Survival Curve
Last modified 3mo ago
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Contents
How to Access This Feature
From + (plus) Button
How to Use This Feature