Questions tagged [average-precision]

30 questions
1
vote
0 answers

Average precision@k average recall@k

I have two sets with user sessions. Each set consists two columns: - id of viewed items in online shop - id of bought items in online shop One set have to be used for train (top roducts rating), second set have to be used for test. all the id's of…
Alex Savin
  • 215
  • 1
  • 4
  • 12
1
vote
3 answers

Remove NAs in row, and move the cell on the right were the NA was located in R also unique values

OK, so I have a data frame in R like this ID <- c(1, 2, 3) c1 <- c( 1, 1, NA) c2 <- c(NA, NA, 5) c3 <- c(NA, NA, NA) c4 <- c(2, NA, 5) c5 <- c(5, 7, 3) df <- data.frame(ID, c1, c2, c3, c4, c5) So, this is what I'm looking for 1. Treat every row as…
Iair Kleiman
  • 221
  • 2
  • 8
1
vote
2 answers

Scikit Learn: Skewed Average Precision Report

I'm using scikit-learn to perform binary classification, however the labels are not evenly distributed throughout the dataset. For cases where I'm interested in predicting the minority class, I have some concerns about the average precision metric…
kylerthecreator
  • 1,509
  • 3
  • 15
  • 32
1
vote
2 answers

mean average precision in R

How can we calculte Mean Average Precision score in R ? Is there an easy way? I calculate it as follows. I dont know if it is totally true or not.. pr = prediction(preds, labs) pf = performance(pr, "prec", "rec") # plot(pf) pf@x.name [1]…
ibilgen
  • 460
  • 1
  • 7
  • 15
0
votes
0 answers

Incorrect Moving Avg. (SMA = 200)calculation in python code

RIL = yf.Ticker("RELIANCE.NS") Period_20 = (RIL.history("20d")) Period_50 = (RIL.history("50d")) Period_100 = (RIL.history("100d")) Period_200 = (RIL.history("200d")) def MA_20_50_100_200(): MA = (sum(Period_20.Close)/20, …
0
votes
0 answers

See Average-Precision and Average-Recall for multiple IoU

I have trained an object-detection model in Tensorflow 2 with EfficientDet. And now I am trying to evaluate the model performance on test dataset. I ran below command to evaluate model - python model_main_tf2.py \ --model_dir=path/to/model_dir…
0
votes
0 answers

Show the names of clients from Spain that are over the mean age aprox 38.2

RDBMS enter image description here I'm trying to gather the information that is required in this question, I have calculated clients age, here are the data for this table CREATE TABLE `clientes` ( `id_cliente` int(11) NOT NULL, `nombre`…
Danny
  • 1
  • 1
0
votes
1 answer

Different AUC-PR scores using Logistic Regression with and without Pipeline

I'm trying to understand why I get different AUC-PR scores using Logistic Regression with and without Pipeline. Here is my code with using Pipeline: column_encoder = ColumnTransformer([ ('ordinal_enc', OrdinalEncoder(),…
0
votes
1 answer

sk.learn average_precision_score

sklearn.metrics.average_precision_score formula The average precision score calculate in the sklearn function follows the formula shown below and in the attached image. AP = Σ(Rn - Rn-1)Pn *The index value of the sumation is n. Please refer…
user27407
  • 3
  • 1
  • 3
0
votes
1 answer

Hi, Is there a way to build a power BI bar chart using multiple heirarchies and avoid calculating averages of averages when drilling up?

I have a dataset with columns Country, State, City, Sales. I wanted to build a drill down bar chart to drill from country to State and then City, showing the average sales. My problem is that I can't find a workaround to avoid power bi calculating…
0
votes
2 answers

Convert Spark DataFrame to spark.rdd.RDD[(Array[Integer], Array[Integer]) to calculate mean average precision

I have a Spark DataFrame: I have to use Spark with Scala to calculate mean average precision from RankingMetrics. I guess according to the documentation we have to use RDD instead of DataFrame. I tried the following: var llist =…
0
votes
1 answer

How to calculate mAP (mean average precision) for the whole dataset?

I am new to computer vision and I have a simple question that could not get any answer for on the web. I am using mask rcnn implementation by Matterport to perform a binary classification on some images and I have some extra lines of code that…
Hessam
  • 1
  • 1
0
votes
1 answer

Wrong result with AVG() time when hour >24 in ADODB.Recordset

someone can help me to understand why, when I run this code I retreive wrong result (the sample table is an extract of 25K recod) each time when in the range of data we have records with Kpi1-2 > 24H. Set objConnection =…
Fabrizio
  • 662
  • 1
  • 7
  • 23
0
votes
1 answer

Google Auto ML , average precision

We used auto ml for multi label text classification. They use average precision as metric (the area under the precision-recall curve) but they didn’t mentioned if it is micro or macro or sample.Dose anybody know how they calculate average precision…
0
votes
1 answer

IR Calculate average precision from varying relevant documents to rank K

The above diagram shows a standard example of precision and recall in a document retrieval setting. To calculate the average precision for rank 1 you would just do: (1.0 + 0.67 + 0.75 + 0.8 + 0.83 + 0.6) / 6 = 0.78 The example above is great for…
Softey
  • 1,451
  • 3
  • 21
  • 42
1
2