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Sentiment score via Naive Bayes - process error
Hey, I'm trying to get the sentiment scores of reddit comments via Naive Bayes but i'm getting an error at the "Apply Model" operator. I hope someone can tell which step is causing the error. Error: Process: (I have a "Tokenize" Operator inside the "Process Documents from Data" Operators) Input Data (After "Select…
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The Decision Tree gave impossible result
I just trained a machine using a Decision Tree, that reached an F-score of 99,7%. Which sounds good until you hear, that naive bayes only got 66,4% the highest score on that dataset I found was 98,2% using deep learning The highest CREDIBLE score I found on that dataset was 78,5% The design is based off of this…
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Condition before learning Naive Bayes
Hello Community I Want to create a Naive Bayes Model with Conditions. The Target of the Algorithm should be to min. the misclassification and have the condition: covariance (of a value) >= x (To calculate the covariance its needed to have a prediction(1) value ((value - avarage of this attribute )*prediction(1)). After i…
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How to create a word list after applying a model?
I have created a branch for training and testing a Naive Bayes classification model. After training and testing I apply the model to a new data set. I want to create a word list from this new data set, however when I connect the word list port of the "Process Documents from Data"-operator I get the word list which was…
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Error when applying a trained model to a new unlabeled data set
I want to apply a Naive Bayes model to a new (unlabeled) data set. The model has already been trained and tested via cross-validation. However when I try to apply the model to a brand new data set I get an error message. Here is an overview of my process and the error I get: The "Retrieve aggregate" is the new (unlabeled)…
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Predict multiple value based on another value
Hello guys, so, i had this data which represents the contents of soil in x-depth and the data only has limited depth. i tried to make model based on contents of soil in x-depth which going to predict those contents of soil arent shown on the depth. e.g contents of soil in 3 m depths and make this data to predict contents…
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Operator Reference: Naive Bayes
Hey folks, I have an issue with the documentation of the naive bayes classifier for which I seek clarification. In particular "To complete the probability model, it is necessary to make some assumption about the conditional probability distributions for the individual Attributes, given the class. This Operator uses…
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good multinomial Naive Bayes or libSVM Text Classification
Hi everyone, I am relatively new to RapidMiner and machine learning in general. In the
forum I couldn't find anything that would solve my problem, sorry if I
missed something there. I want to build a model which classifies the correct party from a given speech. I have a large corpus with
around 20 000 speeches, which are…
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GO won't work at all
I just recently got the monthly subscription for GO but it gets "hung up" (at times all night even on something with 80 rows and 3 columns!)!) and won't deliver any conclusions even on older files for which it was successfully predicting. So, I suspect it has nothing to do with the process or the particular files. Any…
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Naive bayes vs Naive bayes(kernel)
hi all, My data set contains numerical values, which are configured as data type " real". Im able to use both operators naive bayes as well as Naive Bayes(kernel) type., with slightly different performance. However, I also see in RM documentation, only Naive bayes(kernel) to be used for numeric attribute. should I consider…
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How to get F_score in Naive Bayes sentiment analysis
Dear all, I am getting an error when I connect the performance matrix (binomial) to the model. I need to calculate F_score as my datasets is imbalance.. Will be truly appreciated if anyone of you faced this issue before or can suggest me the way out here. thanks a lot in advance, regards, Heikoe
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Performance result: Training vs Test
Dear all, I am new to rapidMiner and I wanted to perform NBC on airline dataset. I have a airline dataset with labelled data of sentiment (pos, neg, and netural). I had divided the dataset 75/25 data split and perform the text processing (i.e. nominal to text, data to document, preprocess document with tokenization,…
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Naive Bayes
How Naive Bayes Dealing With Continues Features In RapidMiner ? Is Gaussian Naive Bayes Available In RapidMiner ?
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Help with naive bayes
Hello guys :) I need help. I got assignment that I have to predict "y" value using Naive Bayes algoritm. The data I have to use is very big, complex, and doesnt make too much sense to me. I posted them under "train" file. Values from "Xo" to "X8" are in letters, and other are binary. Only normal value is "y" . Value "y" i…
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Naive Bayes
Hi, where I using the naive Bayes in RapidMiner Studio, will appear the " Missing Label" Problem for as, what is a silver of this problem?
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Why does Naive Bayes return a confidence either 0 or 1 for every sample?
I'm just guessing but is this telling me that there is some attribute the algorithm is keying on and discarding everything else? Is there a way to take the results and look at the predictions + the other attributes together in a correlation matrix to see if that is the case? I can't picture that with NB. Seems more of an…
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building classifications models using studio
can someone help with step by step procedure for building classifications models using rapid miner studio to start with Decision tree to be followed by other methods
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Show chart of different attributes in Java application
Hi, I'm a beginner and would like to show the charts that have been produced by the Bayesian operator. Since there are multiple attributes (Married, Age, Income, and Gender), I would also like to show the charts of the other attributes in my Java application. I've followed the answer in this…
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Split Validation within Backward Elimination
Hello together, I am currently executing a Backward Elimination with contains a simple Naive Bayes by using Split Validation. But the subprocess is iterativeley working by switching between the milestones Naive Bayes --> Apply Model --> Performance and subsequently again starts with Naive Bayes (see attached). Is this…
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Standard deviation VS Naive Bayes prediction
Hi, Could someone help me and explain is there any correlation between standard deviation value of an attribute with naive bayes prediction ?, because I have some datasets which have same type of data, but one of it has one attribute with very low standard deviation, and the accuracy result is very poor when using naive…
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Prediction outcome all shows no
Hi, I am new to RapidMiner. I would like to predict Credit Payment 'yes or no' outcome with at least 2 method (e.g Naive Bayes/Decision Tree/k-mean etc.), however all of the prediction returns a no.Unlike a usual yes/no this attribute has 3 values in the excel data: yes, no and unknown. I am using Naive Bayes, decision…
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Can i combine two algorithm for example naive bayes with c.45
What operator that i need??
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How to
I am running a naive bayes classifcation, the most simplies way I could find on the internet. Results are...well...weird. My trainingdata looks like this: 2 columns, column1 = combination of terms/words, column2 = categorization of those combinations Example: column1 => "where to buy a mercedes" column2 => "mercedes"…
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Im new in Rapidminer, can someone help me with this Kaggle challenge ? only got 69% right
<context> <input> <location>//Local Repository/data/1º DESAFIO</location> </input> <output/> <macros/> </context> <operator activated="true" class="process" compatibility="9.3.001" expanded="true" name="Process"> <parameter key="logverbosity" value="init"/> <parameter key="random_seed" value="2001"/> <parameter…
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Naïve Bayesian and the decision trees algorithms result comparison?
I used cross-validation to compare the performance of the two models( Naïve Bayesian and the decision trees). Here is the result: and As you can see above both models have the same overall accuracy. Class wise also the same but in different classes. Which one do you think has better performance? Thank you in advance!!!