Figure 5: Area under the curve. I’ve been using the Scipy bookstore, but I haven’t been able. import matplotlib. fill_between can fill area under a curve with a single color. pyplot as plt import numpy as n. This video will show you how to programmatically calculate an integral using python. We need to find the area under the curve within our upper and lower bounds to solve the problem. that your distribution is normalized), just sum the values of f and multiply by the grid spacing:. import matplotlib. New models are often bench marked against established models using AUC. m Running this file requires the Python version of CompEcon. Filled area chart with plotly. Ideal value for AUC is 1. Area Under the Curve (AUC): 0. In our example only 6 rectangles are needed to describe the area, however, we have 12 points defining the precision-recall curve. We need to find the area under the curve within our upper and lower bounds to solve the problem. Python Histogram with Mean and Standard Deviation. Area under the curve. AREA = auc. Set the scale of the axes. To assess how well a logistic regression model fits a dataset, we can look at the following two metrics: Sensitivity: The probability that the model predicts a positive outcome for an observation when indeed the outcome is positive. This curve shows the tradeoff between precision and recall for different thresholds. AUC and ROC Curve. polynomial, params. In our example only 6 rectangles are needed to describe the area, however, we have 12 points defining the precision-recall curve. 21 jul 2020. Join this channel. I like to use average precision to calculate AUPRC. Ceate random data points, x, y1 and y2, using numpy. Data from another database were used to conduct external validation. Grade 7 Surface Area And Volume 7. From this how can I find the area between two points say, 95 to 100?. A definite integral is the integral over a specific interval. Typically, the Trapezium rule is used for estimating the area under the curve. Use of axis spines to hide the top and right spines. The area under ROC curve is computed to characterise the performance of a classification model. Sensitivity refers to the ability to. I was able to draw a normal curve using the data samples in Python with the help of import scipy. Grade 7 Surface Area And Volume 7. > docstring <. A shaded region created using a Polygon patch. How do I fill the area under a curve between two $x$-values using. Watch later. 10198754187656967 Alternatively, as a one-liner: np. To fill the area under a curve in Matplotlib python on log scale, we can take the following steps− Set the figure size and adjust the padding between and around the subplots. For computing the area under the ROC-curve, see roc_auc_score. simps directly (pass f, x as arguments in that order). Actually the function matplotlib. Ceate random data points, x, y1 and y2, using numpy. local_offer Python○Matplotlib. identifying all x intersections and finding area between the intersections I have made a general code, you'd still have to add in edge cases, where signal does not start or end as intercept. There are multiple methods for calculation of the area under the PR curve, including the lower trapezoid estimator, the interpolated median estimator, and the average precision. Open up a new Python script called stats. Techniques to Find Area Under Curve in Matlab. fill_between can fill area under a curve with a single color. calculate area under the curve in python. trapz (ys [ys>1]-1, xs [ys>1]) # 0. For an alternative way to summarize a. Area Under the Curve is an (abstract) area under some curve, so it is a more general thing than AUROC. YOUR COMMENTS WOULD BE A GREAT HELP. Examples on Types of Probability Density Function. #Mathematics #Python #Manim #Riemann #Calculus". An AUC ROC (Area Under the Curve Receiver Operating Characteristics) plot can be used to visualize a model’s performance between sensitivity and specificity. pyplot as plt import numpy as n. Fill the area between the two curves. trapz (ys [ys>1]-1, xs [ys>1]) # 0. I AM NEW TO PYTHON, I AM WORKING IN PANDAS AND I WANT TO KNOW THE MOST SUITABLE WAY TO ESTIMATE THE AREA UNDER THE SHOWN IRRADIANCE VS. Image source. The program is meant to collect from the user: The function under which to calculate the area The left and right boundaries of the region The amount and position of rectangles to use to approximate the area Then run the calculation. It's a boolean array with the same size as x. Step 1: Import Packages. Dec 21, 2015 · import numpy as np from scipy. Filling only a specific area under a curve in Matplotlib You can also, fill upto a certain area/value by declaring y2 in plt. I AM NEW TO PYTHON, I AM WORKING IN PANDAS AND I WANT TO KNOW THE MOST SUITABLE WAY TO ESTIMATE THE AREA UNDER THE SHOWN IRRADIANCE VS. To calculate AUPRC, we calculate the area under the PR curve. 7 sept 2022. predict_proba(X_test) Menu NEWBEDEV Python Javascript Linux Cheat sheet. metrics as metrics # calculate the fpr and tpr for all thresholds of the classification probs = model. Coding example for the question Python Integration: to calculate area under the curve-pandas. We examined the area under the curve (AUC) statistics to evaluate the prediction performance. fill_between () method in matplotlib in Python. There are multiple methods for calculation of the area under the PR curve, including the lower trapezoid estimator, the interpolated median estimator, and the average precision. python · numpy · scipy · area · Share. May 01, 2021 · Area Under the Curve (AUC) In machine learning and diagnostic medicine the area under the receiver operating characteristic (ROC) curve or AUC is a common metric used to evaluate the predictive performance of a model or diagnostic test. Data from another database were used to conduct external validation. Jul 23, 2018 · AUC is not always area under the curve of a ROC curve. simps directly (pass f, x as arguments in that order). A text label with mathtext rendering. Before starting to plot graphs, please make sure your code space or your system satisfies the requirements of the libraries Matplotlib, NumPy, and pandas. Rotating and scaling so as to keep the vertices on the curve, we get a square with vertices at ± ( a, 1 / a) and ± ( − 1 / a, a) with a > 0. YOUR COMMENTS WOULD BE A GREAT HELP. First, we can calculate the area for all the points that compose the curve by making a dataframe with the splined data and then adding a new column to represent area: Then we find the max row in the dataframe: We can then save these coordinates to two new variables with the following code:. identifying all x intersections and finding area between the intersections I have made a general code, you'd still have to add in edge cases, where signal does not start or end as intercept. original sound. Let’s consider area under random model as a. " The closer the AUC is to 1, the better the model. Grade 7 Surface Area And Volume 7. Figure 5: Area under the curve. atan(l*b*x) + h*x where c = math. sqrt (2 * np. I AM NEW TO PYTHON, I AM WORKING IN PANDAS AND I WANT TO KNOW THE MOST SUITABLE WAY TO ESTIMATE THE AREA UNDER THE SHOWN IRRADIANCE VS. 24 feb 2022. It includes code implementation of various topics such as variables, operators, control flow, data structures, algorithms, and object-oriented programming. interp2d to Create 2D Interpolation in Python First of all, let’s understand interpolation, a technique of constructing data points between given data points. 1 Answer. 6 # defining a function for duty cycle, output current and output power def duty_cycle (output_voltage, array_voltage): duty_cycle = np. THANK YOU! I don’t have the graph equation. Area Under the Curve is an (abstract) area under some curve, so it is a more general thing than AUROC. 27 nov 2011. YOUR COMMENTS WOULD BE A GREAT HELP. from scipy. plotting the cumulative distribution function (area under the probability . Use poetry install and poetry shell for a python3 environment with dev dependencies. Parameters: y_truearray-like of shape (n_samples,) or (n_samples, n_classes). Jul 23, 2018 · AUC is not always area under the curve of a ROC curve. To calculate AUPRC, we calculate the area under the PR curve. An AUC ROC (Area Under the Curve Receiver Operating Characteristics) plot can be used to visualize a model’s performance between sensitivity and specificity. One way of . Aug 12, 2020 · normal_curve = stats. Ceate random data points, x, y1 and y2, using numpy. figtext calls to label the x- and y-axes. Grade 7 Surface Area And Volume 7. Bounds (0, 10,. TIME CURVE. integrate (f (x), (x, 0, 2))) Output: 8/3 Example 2: Python3 import matplotlib. Open up a new Python script called stats. Open up a new Python script called stats. In Python, average precision is calculated as follows:. This step can be skipped when you’re confident with your skills already. format (simps (f, x))) Firstly, you have to find a function from a graph. We can determine the true positive rate (TPR) and false positive rate (FPR) which results in our experiment. THANK YOU! I don’t have the graph equation. Set the scale of the axes. Version 1. I think the solution should look something like this l1 = fsolve (lambda l: arc (f, 0, v, tolerance), l_min) l2 = fsolve (lambda l: area_simpson (f, 0, v, tolerance), l_min). import matplotlib. For instance, if the sides of a right triangle are all changing as functions of time, say having lengths x, x, y, y, and z, z, then these quantities are related by the Pythagorean Theorem: x2+y2 = z2. Python Fundamentals is a comprehensive project that covers all the basic and advanced concepts of the Python programming language. Let’s see how we can calculate this in python. As we move from a to b we can keep adding these areas, and we will get the area under of the region ABCD. Use poetry install and poetry shell for a python3 environment with dev dependencies. To assess how well a logistic regression model fits a dataset, we can look at the following two metrics: Sensitivity: The probability that the model predicts a positive outcome for an observation when indeed the outcome is positive. Area Under a Curve Using Numerical Calculations in Python 4,738 views Jul 21, 2020 35 Dislike Share Save Physics Explained 16K subscribers Subscribe Here is part III - in which I again find. Filling only a specific area under a curve in Matplotlib You can also, fill upto a certain area/value by declaring y2 in plt. I have a function in python: f(x,l) = p * math. I want to fill rainbow color under a curve. 5 ft if chosen randomly from the distribution. We examined the area under the curve (AUC) statistics to evaluate the prediction performance. pdf (dataset, mean, std_dev) where mean was 100 and standard deviation = 5. from scipy. So, area of shaded region is (x 2 +45x+30) square meter. From this how can I find the area between two points say, 95 to 100? If I am correct, the whole area is 100% and 50% of the area lies on left of '100' and 50% on the right. Step 1: Graph f ( x) ’s curve and sketch the bounded region. See sklearn source for roc_auc_score: x 1 def roc_auc_score(y_true, y_score, average="macro", sample_weight=None): 2 # <. atan (b * l * w) d = math. Solution: We can see in the graph that the area of the region enclosed between them will be given by the difference in the area under f(x) and the line y =9. Area Under a Curve Using Numerical Calculations in Python 4,738 views Jul 21, 2020 35 Dislike Share Save Physics Explained 16K subscribers Subscribe Here is part III - in which I again find. Data from another database were used to conduct external validation. Jul 23, 2018 · AUC is not always area under the curve of a ROC curve. replace ("x", str (x))) print ('the area under the curve is %s' % total_area) def left_riemann_sum (): total_area = 0 for k in. 3333 result = trapezoidal_rule (f, a, b, n) self. Data from another database were used to conduct external validation. An AUC ROC (Area Under the Curve Receiver Operating Characteristics) plot can be used to visualize a model’s performance between sensitivity and specificity. May 05, 2020 · In order to calculate the area and the precision-recall-curve, we will partition the graph using rectangles (please note that the widths of the rectangles are not necessarily identical). Python Fundamentals is a comprehensive project that covers all the basic and advanced concepts of the Python programming language. area = trapz (y, dx=5) print (“area =”, area) # Compute the area using the composite Simpson’s rule. A text label with mathtext rendering. Refresh the page, check Medium ’s site status, or find something interesting to read. Area under the curve represents the summation of a function over an interval, and is of interest in a variety of applications. The function then fills the areas between the curves based on the shape of Y : If Y is a vector, the plot contains one curve. The Delong test checked the different feature sets in similar models. 1和1之间。 Auc作为数值可以直观的评价分类器的好坏，越大越好。 首先，AUC值是一个概率值，当你随机挑选一个正样本以及负样本，当前的分类算法根据计算得到的Score值将这个正样本排在负样本前面的概率就是AUC值，AUC值越大，当前分类算法越有可能将正样本排在负样本前面，从而能够更好地分类。 本文重点介绍两种计算方法。 方法一 公式： AUC= M×N∑ 1M∑ 1NI(P pos,P neg) 其中， I(P pos,P neg)=⎩⎨⎧ 10. I AM NEW TO PYTHON, I AM WORKING IN PANDAS AND I WANT TO KNOW THE MOST SUITABLE WAY TO ESTIMATE THE AREA UNDER THE SHOWN IRRADIANCE VS. simps directly (pass f, x as arguments in that order). I like to use average precision to calculate AUPRC. area_under_curve (params. Separate the definite integrals found above and below the x -axis. The area under the curve (AUC) is the most widely used metric that helps in model evaluation. It includes code implementation of various topics such as variables, operators, control flow, data structures, algorithms, and object-oriented programming. 4 Teaching Area of Shaded Region Easily Jun 17, 2019 · From simple geometry ∠ H G I = γ = 2 π − 2 β, now area of sector G H I = A 4 = γ a 2 8 which implies area of shaded portion on the right is A 4 − A 3, hence total area is 2 ( A 4 − A 3) Method 2: Via calculus with some coordinate. Typically, the Trapezium rule is used for estimating the. The receiver operating characteristic curve (ROC) was constructed, and the area under the ROC curve (AUC) was presented as the model's predictive ability. integrate import simps 467+ Tutors 71% Recurring customers. Aug 12, 2020 · normal_curve = stats. Dec 21, 2015 · import numpy as np from scipy. To fill the area under a curve in Matplotlib python on log scale, we can take the following steps− Set the figure size and adjust the padding between and around the subplots. Compute Area Under the Curve (AUC) using the trapezoidal rule. replace ("x", str (x))) print ('the area under the curve is %s' % total_area) def left_riemann_sum (): total_area = 0 for k in. stats as stats library as: normal_curve = stats. For a quick check (e. The area under ROC curve is computed to characterise the performance of a classification model. Here the area under the curve is divided into a few rectangles. We need to find the area under the curve within our upper and lower bounds to solve the problem. YOUR COMMENTS WOULD BE A GREAT HELP. I have a list of y values and a list of x values. I like to use average precision to calculate AUPRC. The function first reads in the lower and upper integration bounds as well as the number of intervals for integration. In the first line of code, we import the erf and sqrt () functions from the math module. In Python, average precision is calculated as follows:. The function first reads in the lower and upper integration bounds as well as the number of intervals for integration. py --polynomial {3:1} --lower 0 --upper 10 --step. Step 1: Import Packages. trapz (ys [ys>1]-1, xs [ys>1]) # 0. exp (- ( (x-mean)/sigma)**2/2) / sigma / np. Polynomial ( {3:1}) params = auc. Mar 20, 2019 · How to calculate area under curve in Excel? A numpy array is used here, # but a python list could also be used. pyplot as plt import numpy as n. 6 7. ROC stands for Receiver Operating Characteristic curve. fill_between () method in matplotlib in Python. ones (np. integrate import simps from numpy import trapz reference: Calculating the area under a curve given a set of coordinates, without knowing the function Share Follow answered Dec 5, 2019 at 19:50 Bill Chen. Let x a = t d x = d t a, then. py and demo. We can determine the true positive rate (TPR) and false positive rate (FPR) which results in our experiment. Watch later. There are various ways of shading the region under the curve using the plt. Actually the function matplotlib. · Start with the initial x-value (in the example I've . Jan 19, 2022 · # but a python list could also be used. 1k Ohms; Turn Ratio 61:1; Maximum Voltage: 26000; Yellow. But first things first: to make an ROC curve, we first. predict_proba(X_test) Menu NEWBEDEV Python Javascript Linux Cheat sheet. Excel simplifies calculations with its vast arsenal of functions, but there's no Excel function for calculating the area under a plot. Apr 29, 2020 · I need to calculate the Area between the curve y = f (x), and the x-axis, for each array. A text label with mathtext rendering. 17 area = simps(y, dx=5) 18 print("area =", area) Source: stackoverflow. " The closer the AUC is to 1, the better the model. To fill the area under step curve using pyplot, we can take the following steps Steps Set the figure size and adjust the padding between and around the subplots. Sensitivity refers to the ability to. Actually the function matplotlib. org) and R software version 4. AREA = auc. This page contains a list of Area under the Curve Formulas. more 9. Example: roc curve python import sklearn. I AM NEW TO PYTHON, I AM WORKING IN PANDAS AND I WANT TO KNOW THE MOST SUITABLE WAY TO ESTIMATE THE AREA UNDER THE SHOWN IRRADIANCE VS. We examined the area under the curve (AUC) statistics to evaluate the prediction performance. AUC (Area under the ROC Curve). array ( [5, 20, 4, 18, 19, 18, 7, 4]) # Compute the area using the composite trapezoidal rule. All statistical analysis procedures were performed using Python (version 3. References [1] Wikipedia entry for the Receiver operating characteristic [2] Fawcett T. Area Under a Curve Using Numerical Calculations in Python 4,738 views Jul 21, 2020 35 Dislike Share Save Physics Explained 16K subscribers Subscribe Here is part III - in which I again find. I like to use average precision to calculate AUPRC. I think the solution should look something like this l1 = fsolve (lambda l: arc (f, 0, v, tolerance), l_min) l2 = fsolve (lambda l: area_simpson (f, 0, v, tolerance), l_min). I need to calculate the Area that it is included by the curve of the (x,y) points, and the X axis, using rectangles and Scipy. classic cars for sale in maryland
Typically, the Trapezium rule is used for estimating the area under the curve. . Area under a curve python
As a data scientist and cancer researcher who uses Python, it was difficult to find functions and code snippets that computed and plotted NRI and IDI as presented here. Its area is given by,. axvline (x=0, color='k') plt. We can determine the true positive rate (TPR) and false positive rate (FPR) which results in our experiment. divide (array_current, duty_cycle) return output_current def. 937729144675 Receiver Operator Curve (ROC) This was invented during WWII as a means to detect aircraft using radar. trapz (ys [ys>1]-1, xs [ys>1]) # 0. Solution: We can see in the graph that the area of the region enclosed between them will be given by the difference in the area under f(x) and the line y =9. It includes code implementation of various topics such as variables, operators, control flow, data structures, algorithms, and object-oriented programming. As a result the range between neighboring True and False values is never filled. Let’s start by looking at common ways of creating a 1d array of size N initialized with 0s. 2,111 views Jul 28, 2020 How to Create Data Visualization of an Area Under The Curve with Python, Matplotlib, and Numpy. Grade 7 Surface Area And Volume 7. To calculate AUPRC, we calculate the area under the PR curve. Polynomial ( {3:1}) params = auc. normal_curve = stats. 10198754187656967 Alternatively, as a one-liner: np. plotting the cumulative distribution function (area under the probability . pyplot as plt import numpy as n. 13 area = trapz(y, dx=5) 14 print("area =", area) 15 16 # Compute the area using the composite Simpson's rule. The probability= Area under the curve = density X interval length. There are multiple methods for calculation of the area under the PR curve, including the lower trapezoid estimator, the interpolated median estimator, and the average precision. 7+ module to calculate riemann sum area under a curve · Copyright 2019 Steven Mycynek · Supports. org) and R software version 4. But first things first: to make an ROC curve, we first. To run the app below, run pip install dash, click "Download" to get the code and run python app. integrate import simps 467+ Tutors 71% Recurring customers. Such computations could be automated, and this contribution describes a Python software designed to calculate the area under the curve of y = x 2. simps directly (pass f, x as arguments in that order). python - how to find area under curve? python numpy matplotlib scipy 22,966 Solution 1 If your distribution, f, is discretized on a set of points, x, that you know about, then you can use scipy. Show area under both curves. The Delong test checked the different feature sets in similar models. 1 day ago · Viewed 10 times. import numpy as np from matplotlib import pyplot as plt def f (t): return t * t t = np. Rotating and scaling so as to keep the vertices on the curve, we get a square with vertices at ± ( a, 1 / a) and ± ( − 1 / a, a) with a > 0. atan(b * l * w) d = math. metrics as metrics # calculate the fpr and tpr for all thresholds of the classification probs = model. divide (array_current, duty_cycle) return output_current def output_power (output_voltage,. This is a plot that displays the sensitivity and specificity of a logistic regression model. YOUR COMMENTS WOULD BE A GREAT HELP. predict_proba(X_test) Menu NEWBEDEV Python Javascript Linux Cheat sheet. From this how can I find the area between two points say, 95 to 100? If. Jun 26, 2021 · Python: Calculate area under the curve. AREA = auc. variable as you know by now ( from day 9 – Introduction to Classification in Python, . In our example only 6 rectangles are needed to describe the area, however, we have 12 points defining the precision-recall curve. Plot x, y1 and y2 data points using plot () method. It is used to measure the entire area under the ROC curve. trapz or scipy. Parameters: xndarray of shape (n,) X coordinates. Actually the function matplotlib. divide (array_current, duty_cycle) return output_current def. get_algorithm ("simpson") bounds = auc. Definition of Area Under the Curve (AUC) Score: Area under the curve (AUC) is a. Fill the area between the two curves. Integral as the area under a curve — Matplotlib 3. 16, 0. I like to use average precision to calculate AUPRC. For a quick check (e. This can be installed with pip by running. So, the area of the region ABCD bounded by the curve f (x) between x = a and x = b is, Similarly, if we have a function g (y) which bounds the area between y = a and y = b. From this how can I find the area between two points say, 95 to 100? If. Question 5: Find the area of the region that is enclosed between the curve f(x) = x 2 and y = 9. Ideal value for AUC is 1. Fill the area between the two curves. Image source. from scipy. Create x, y1 and y2 data points using numpy. All statistical analysis procedures were performed using Python (version 3. Integral as the area under a curve¶ Although this is a simple example, it demonstrates some important tweaks: A simple line plot with custom color and line width. fill_between can fill area under a curve with a single color. Different Scenarios with ROC Curve and Model Selection Scenario #1 (Best Case Scenario). python You can use Simpsons rule or the Trapezium rule to calculate the area under a graph given a table of y-values at a regular interval. The formula for the total area under the curve is A = limx→∞ ∑n i=1f (x). more 9. To calculate AUPRC, we calculate the area under the PR curve. On the y-axis, being y the cumulative sum of entries associated with each probability. enter image description here. If your distribution, f, is discretized on a set of points, x, that you know about, then you can use scipy. Then, type the trapezoidal formula into the top row of column C, and copy the formula to all the rows in that column. format (np. The ROC curve plots the true positive rate and the false positive rate at different . We examined the area under the curve (AUC) statistics to evaluate the prediction performance. I was able to draw a normal curve using the data samples in Python with the help of import scipy. Area Under a Curve Using Numerical Calculations in Python 4,738 views Jul 21, 2020 35 Dislike Share Save Physics Explained 16K subscribers Subscribe Here is part III - in which I again find. Jan 19, 2022 · # but a python list could also be used. Jun 26, 2021 · Python: Calculate area under the curve. 20 abr 2010. Python – Calculating the area under a curve given a set of coordinates, without knowing the function. Example: roc curve python import sklearn. Area Under The Curve As Probability The area under the curve as shown in the figure above will be the probability that the height of the person will be smaller than 4. I’ve been using the Scipy bookstore, but I haven’t been able. I have one list of 100 numbers as height for Y axis, and . pdf (dataset, mean, std_dev) where mean was 100 and standard deviation = 5. area = h * np. Nov 26, 2020 · goodbye!') quit () # calculations for the area under the curve def right_riemann_sum (): total_area = 0 for k in range (rectangles): x = left_bound + (k + 1) * delta_x total_area += delta_x * eval (function. Area Under The Curve As Probability The area under the curve as shown in the figure above will be the probability that the height of the person will be smaller than 4. python by Mysterious Mongoose on Jan 19 2022 Comment. atan(b * l * v) p = (b * v * w) / (v * c - w * d) h = (b * w * d - v * c + w * d) / (-v * c + w * d) and where w less v, b greater 0, l greater0 where I want to calculate the arclength and area under the curve and minimise the function for arc + area for l. In fact, all the models are based on simple. 50P pos>P negP pos=P negP pos<P neg 公式解释：. predict_proba(X_test) Menu NEWBEDEV Python Javascript Linux Cheat sheet. pyplot as plt. scikit-learn makes it super easy to calculate ROC Curves. 7 sept 2022. 6 dic 2021. Actually the function matplotlib. All statistical analysis procedures were performed using Python (version 3. 8K Followers Articles about Data Science and Machine Learning | @carolinabento. Python Fundamentals is a comprehensive project that covers all the basic and advanced concepts of the Python programming language. Area Under the Curve is an (abstract) area under some curve, so it is a more general thing than AUROC. To calculate AUPRC, we calculate the area under the PR curve. sqrt (2 * np. How to efficiently implement Area Under Precision-Recall Curve (PR-AUC) | by Thomas Kurbiel | Towards Data Science Write Sign up Sign In 500 Apologies, but something went wrong on our end. Such computations could be automated, and this contribution describes a Python software designed to calculate the area under the curve of y = x 2. A shaded region created using a Polygon patch. metrics as metrics # calculate the fpr and tpr for all thresholds of the classification probs = model. plot (t,f (t)) python. . neil young harvest documentary, school girls fuck teacher, cherry angiomas and autoimmune disease, wwwcraigslistcom florida, realslutparty, fembois porn, alix lovell, xfinity pay bill without signing in, xez bellringer, housekeeping job near me, img vs stressless, xxx ideos co8rr