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Questions: 170 | Resolved: 170 | Answers: 263 | Views : 90054 | Avg time to answer : 11.3 days




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Getting an error when running KNN algorithm on Project




844
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Not Enough Distinct Predictions to compute area under ROC.




684
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Error: undefined columns selected, when running dummy(x)




674
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R error: infinite or missing values in 'x' when running svd(subs_mat)




618
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Error from AUC function on KNN algorithm




591
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How to manually compute KNN




585
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Random Forest error on calibration function




568
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10
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Error running LR with glmnet




498
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1203
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Large Graded Partner Assignment Question




467
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GLM/GLMNET Multinomial/Binomial error




457
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Question about the NYSE dataset for Large Assignment - heavily skewed dependent variable




440
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WHAT DATA




422
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Error Received in Decision Tree




419
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Can you clarify the following statement: Compute the the sum by both ID1 and ID2 ? -HW1 Exercise4 (due 2/1)-




414
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Euclidean Distance for K-Nearest Neighbors




395
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How to keep the same structure of a data frame when appying functions to it?




380
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Text mining after SVD




368
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1180
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How to use your newly computed v and d to calculate u on the second half of the data?




366
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1176
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Meaning of negative AUC (in Round 1 results)




364
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1128
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predKNN Error: "Error in matrix(data = predKNN, ncol = k, nrow = nrow(testKNN)) : non-numeric matrix extent"




357
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How to compute a lag on a variable?




356
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1208
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How to compute the time window in model deployment?




356
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1207
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What is the difference between characters, numerics, factors, and integers?




354
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1206
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Best Way to Attempt Homework




354
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1177
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HW#2: Calculating Second Half of SUBS dataset




348
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1180
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Output of the KNN algorithm question -> Prediction or probability




348
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1157
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Create a bagged tree and tune the ensemble size




347
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1181
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Warning in install.packages : package ‘impute’ is not available (for R version 3.2.3)




346
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Prediction Algorithm Output and what it means: If all my predNB values are under 0.50, is it ever guessing "YES?"




345
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1142
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RandomForest Prediction in Project




341
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1207
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did you mean to say flag or lag in the exercise?




339
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1170
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Lead variable for predictions




334
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2.8.4 Exercises for Subsection 2.5.5




333
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1206
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Can you please clarify what you are asking for when you want predictors from 5 columns?




333
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1128
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Output for 5x2fcv function?




332
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1115
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Logistic Regression Log Lambda / Coefficients Graph Explanation




329
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1157
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3
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Max AUC (bagged trees)




328
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1179
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Large Assignment: Input / Output and function deliverables




328
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1156
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K-Nearest Neighbors "for loop"




326
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1177
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How do we write the predict function to give predictions for specific stocks?




323
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1131
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Optimizing bins for calibration




323
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1184
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How to manually compute proportions of 1s using k nearest neighbors in R?




320
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Coaching Marketplace: Can coaches meet with different teams?




318
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1170
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Threading in R




318
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1181
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What is the purpose of svd?




317
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1157
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kNN Calculated Proportions




317
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Predicting Using Naive Bayes




314
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1185
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What is the response variable for the Group Stock Price Project?




310
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1123
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Passing variables between functions




309
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1138
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Big Project Articles Text mining: Merging 2 data sets




309
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Leading variable




307
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Question sapply about




306
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AUC




305
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1144
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Bagged Trees Prediction




305
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taking Y of the nearest neighbors




303
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Exam length




301
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1120
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Summarizing Cross-Validation Performance Values




301
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1157
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What is meant by "Estimation phase: Create a big ensemble with many trees only once"




301
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1123
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DATA_GRADING data from 2002 missing




299
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1137
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How to execute R code inside a string variable?




296
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1171
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Reading .csv files as Dataframe




295
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1184
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Breaking a "tie" for K-nearest neighbors




291
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1121
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Comprising a 5x2cfv




290
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1154
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Why use AUC?




290
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What to do if a rm command was used when it shouldn't have been?




289
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Why do we sometimes use the transpose function back to back, and how do we recognize when it is appropriate to do so?




289
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Difference between BasetableTRAIN, BasetableVAL, BasetableTEST, and BasetableTRAINbig




288
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Dependent Variable




286
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1172
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kNN.index vs. knn




286
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1177
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How to use validation method on two separate data sets (test data= jan2nd & train data=prev.yr data+jan1st data)




284
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1130
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How to select number of dates in test set




283
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1116
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Explain node impurity further




282
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1156
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Using NaiveBayes() function that does not have the right criteria




282
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1207
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What does putting "as." in front of numeric or factor accomplish?




281
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1141
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Large assignment question about merging




281
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1147
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Text mining: how to aggregate unstructured data in Large Assignment News Articles




280
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1206
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How to combine two functions with differing outputs and equations?




280
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Sorting by stock symbol




280
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1135
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Is it better to delete row of NA's or impute mode?




279
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Test Material Usage




279
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1172
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kNN in class dependent variable




279
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Not enough memory to run RF on the Stocks data




277
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HW#3 Question 1: Medium Tenure, High Spend




277
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1206
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Homework due dates




276
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1158
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Second intermediate deliverable: predictions




275
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Choosing a good title




274
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1131
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Does the Wilcoxon-Ranks Test function need to only work for 10 AUC scores at the .05 level?




274
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1121
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AUC ROC calculation explored




274
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998
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Viewing Prep Quiz answers




274
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Coaching Marketplace




273
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1149
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submitting LR




273
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1158
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Finding the Optimal # of Trees




270
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1143
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Using the mapping.csv file with Article Data




270
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1132
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Using Random Forest




269
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Reading in new data




269
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1000
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Viewing of the Solutions to the In-Class Gradable




268
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what does it mean - return indicators




268
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1155
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Discriminating between neighbors in K-nearest neighbors where distance measures are equal




267
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First Prediction Wednesday Model




265
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1161
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Predicting Probabilities of New (X,Y) Using Naive Bayes




265
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Defining the classes of columns while reading in data




265
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1128
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Number of bins for plotting Calibration and bin classifier scores




264
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Independent and dependent variables for predictions




264
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Tuning in Decision Trees




263
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How to combine multiple models for final submission




262
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When to install.packages for grader




262
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Round 3 Data




262
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Clarification on Final Code Deliverable




261
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Round 4 Why are there so many unmatched Symbols?




261
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New data passed with ensemble of models?




261
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yTEST




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Requesting a summary of results from Stock Prediction final submission




260
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Computing Probabilities manually with Bayes Theorem.




260
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What is the significance of document vector weighting?




260
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Matching symbols with predictions in the predict function




259
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What do we do if our calibrated predictions are incorrect?




259
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Determining optimal number of trees - Exercise 2.8.6




259
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Manually Evaluate Neural Network




258
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Second Test Allowed Material Usage




256
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How to manually calculate AUC?




255
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1122
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Should I subtract colMeans from my DTM matrix when I am recreating it in the predict function?




255
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1132
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The datasets.Rdata file location




254
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Neural Network Calculation: Entropy Term, etc.




254
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What's the difference between Predictions and Predictions 2




254
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Splitting a Table Without Hardcoding




253
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Loop with letters instead of numbers




253
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Optimal Ensemble Size Exercise 2.8.6 for section 2.5.7




251
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How do we structure a data frame for stacking models?




251
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Defining Validation data vs training data




249
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1005
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Computer Error on the First Prep Quiz




248
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Getting a better smoothed fit for plot




247
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Cross Validation Optimal Parameter Consistency




246
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820
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what do you mean when you use the word 'handling'?




243
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Inner merging DF with cardinality of many-to-many




241
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columns.txt file in Data Grading folder




240
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MERGE() command Techniques




239
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Wilcoxon assingment




239
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Cross Validation & Wilcoxon Solutions




239
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NAs in Dataset from Lead Variable




236
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940
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"idf" function




231
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Wilcoxon signed-ranks test: Value of parameter "p" in the critical values table




229
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How would && operators increase efficiency?




227
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graphing function takes labels as argument




225
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Deploying the model given by the calibrate function on unbinned or binned data?




219
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When do we perform variable selection outside of regression?




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897
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How select the sequence parameter to use in a loop while trying to determine the optimal K for a KNN model




202
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Support Vector Machines and figure 2.15




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Figure 2.8 and equation 2.24




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854
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Data Frame subsetted with logical types FALSE, TRUE




190
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774
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Features in Support Vector Machines




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Do we need to train the model on train+test set again after finding optimal ensemble size?




185
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807
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Good Predictions




183
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809
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In binomial likelihood function why is number of trials equal to 1




181
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Bagged Decision Tree vs. Random Forest




180
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809
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The difference between using predict() on BasetableVAL and BasetableTEST




180
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813
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Naive Bayes: How can we tell when to tune data?




180
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816
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Viewing files before reading into R using notepad




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807
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Double colon?




176
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812
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Creating identical percentages of 1's and 0's efficiently




174
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778
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ICA #19 Solution




173
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817
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combining rbind and lapply -- the reasoning behind not using them together




172
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782
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Something forgotten before an important dealine




170
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760
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Understanding classifier performance




158
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AUACC vs AUROC curves




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