Tpr Chart: Fill & Download for Free

Maam i dont think any good dr can give your 6 yr child EXACT & CORRECT Line of TREATMENT without you have a TPR CHART of last 2 months & Lab work done to rule out PUO. So sorry cant help you.

Hi: In my opinion, we should look at all three. However Gini and KS are most frequently used variables in the industry.All three are important because they measure different characteristic of the model performance.Lorenz Curve and Gini Index-Shows how good is your model compared the a random model ( Naive model). It captures the discriminatory power of the model in separating “Good” from “Bad” vs. random selection. Gini Index is the ratio of areas marked below [A/ (A+B)]. This measures how much better the model is performing compared to random selection. ). Gini value of 0% would indicate a model which is no better than random or in other words no prediction power. On the other hand a Gini value of 100% will indicate a perfect model- it will accurately predict good and Bad 100%.Kolmogorov-Smirnov statistics (KS)Similar to Gini, KS also captures the discriminatory power of the model in separating “Good” from “Bad”. It is the highest separation between the Cumulative Good Rate and Cumulative Bad Rate. Higher the KS, better is the model (higher separation between good and bad). KS values can range between 0 -100%, KS values greater than 20% are considered acceptable for a model.Receiver Operating Characteristic Curve (ROC) / Area Under Curve (AUC)Gauges model’s performance in identifying “True Positive” as opposed to “False Positive”. It plots TPR vs FPR. The area under the ROC chart is an indication of this metric. AUC can range from 50% to 100%. Higher the AUC value, better is the prediction power of model.So you see, all three metrics tell you a different view of the model performance.However there are other metrics as well that one should look at-Lift, Confusion Matrix (Actual vs Predicted), Characteristic Stability Index, % Concordance etc.Hope this helps.Cheers!

During my life, American kids were drafted to go fight in Vietnam. Older establishment hated the younger people who were opposed to the war (generally, there were exceptions, but “dope smoking whining hippie damn kids” versus a generation who judged you as worthless because of a haircut). When neuropathic pain came in, it was those kids who were missing limbs were complaining of pain in a limb they never had. There was minimal respect for the patient in some quarters, they were called junkie drug seekers, and proof that pain control failed was just proof how shitty a human being the person in pain was. We learned about different types of pain, and different medications for different pain, but it took longer than it might have. There are many examples of poor care to vulnerable populations,(more)