Average

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   22  0.8152  0.0034  0.0931  0.245  0.4734  0.34
Anderszewski 2003   58  0.6917  0.0122  0.0637  0.187  0.5437  0.31
Ashkenazy 1981   23  0.819  0.049  0.144  0.581  0.716  0.64
Bacha 2000   67  0.6571  0.0077  0.0377  0.0317  0.4073  0.11
Badura 1965   69  0.6567  0.0051  0.0454  0.045  0.5750  0.15
Barbosa 1983   62  0.6761  0.0040  0.0639  0.151  0.6139  0.30
Biret 1990   17  0.8327  0.0026  0.0821  0.321  0.6518  0.46
Blet 2003   19  0.8220  0.0133  0.0723  0.301  0.6322  0.43
Block 1995   66  0.6642  0.0076  0.0369  0.0324  0.2882  0.09
Blumental 1952   79  0.5160  0.0067  0.0452  0.0416  0.3078  0.11
Boshniakovich 1969   39  0.7524  0.0159  0.0462  0.047  0.5254  0.14
Brailowsky 1960   40  0.7573  0.0069  0.0381  0.0310  0.4564  0.12
Bunin 1987   25  0.8176  0.0031  0.0827  0.282  0.5829  0.40
Bunin 1987b   24  0.8186  0.0030  0.0726  0.282  0.5827  0.40
Chiu 1999   70  0.6363  0.0050  0.0461  0.045  0.5648  0.15
Cohen 1997   83  0.4165  0.0083  0.0383  0.0328  0.2783  0.09
Cortot 1951   50  0.7368  0.0049  0.0456  0.0411  0.4655  0.14
Csalog 1996   75  0.5633  0.0084  0.0372  0.0324  0.3581  0.10
Czerny 1949   32  0.7722  0.0118  0.0619  0.333  0.6517  0.46
Czerny 1990   4  0.8739  0.008  0.129  0.492  0.629  0.55
Duchoud 2007   20  0.8240  0.0020  0.0614  0.361  0.6413  0.48
Ezaki 2006   3  0.895  0.074  0.197  0.541  0.707  0.61
Falvay 1989   18  0.8219  0.0117  0.0620  0.326  0.5623  0.42
Farrell 1958   33  0.7762  0.0065  0.0366  0.033  0.5266  0.12
Ferenczy 1958   57  0.7057  0.0068  0.0450  0.0419  0.3969  0.12
Fliere 1977   1  0.918  0.043  0.153  0.581  0.742  0.66
Fou 1978   53  0.7216  0.0135  0.0634  0.1911  0.4838  0.30
Francois 1956   28  0.7912  0.0215  0.0817  0.342  0.6119  0.46
Friedman 1923   88  0.2079  0.0087  0.0380  0.0336  0.2186  0.08
Friedman 1923b   87  0.2177  0.0086  0.0379  0.0331  0.2285  0.08
Friedman 1930   82  0.4449  0.0072  0.0463  0.0416  0.4061  0.13
Garcia 2007   81  0.4987  0.0080  0.0384  0.0310  0.4377  0.11
Garcia 2007b   86  0.2780  0.0085  0.0387  0.0333  0.1388  0.06
Gierzod 1998   16  0.8314  0.0119  0.0818  0.332  0.5821  0.44
Gornostaeva 1994   15  0.8310  0.0329  0.0728  0.271  0.5930  0.40
Groot 1988   9  0.857  0.0516  0.0916  0.351  0.6614  0.48
Harasiewicz 1955   63  0.6713  0.027  0.158  0.501  0.6110  0.55
Hatto 1993   78  0.5131  0.0045  0.0445  0.084  0.5646  0.21
Hatto 1997   73  0.5974  0.0037  0.0735  0.193  0.6233  0.34
Horowitz 1949   55  0.7250  0.0055  0.0373  0.037  0.4767  0.12
Indjic 1988   77  0.5434  0.0046  0.0846  0.084  0.5945  0.22
Kapell 1951   21  0.8235  0.0038  0.0736  0.191  0.5935  0.33
Kissin 1993   34  0.7741  0.0043  0.0544  0.1010  0.4944  0.22
Kushner 1989   8  0.8623  0.0114  0.1122  0.311  0.6220  0.44
Luisada 1991   43  0.7518  0.0139  0.0640  0.142  0.5340  0.27
Lushtak 2004   27  0.793  0.085  0.175  0.581  0.725  0.65
Malcuzynski 1961   2  0.914  0.076  0.156  0.581  0.734  0.65
Magaloff 1978   11  0.842  0.1010  0.1210  0.441  0.698  0.55
Magin 1975   61  0.6872  0.0054  0.0385  0.037  0.3874  0.11
Michalowski 1933   80  0.4955  0.0061  0.0457  0.0419  0.4260  0.13
Milkina 1970   29  0.7930  0.0042  0.0542  0.116  0.5043  0.23
Mohovich 1999   5  0.8715  0.0113  0.1011  0.411  0.6311  0.51
Moravec 1969   49  0.7456  0.0070  0.0370  0.0310  0.4763  0.12
Morozova 2008   44  0.7558  0.0023  0.0530  0.261  0.6228  0.40
Neighaus 1950   7  0.866  0.062  0.112  0.601  0.751  0.67
Niedzielski 1931   74  0.5947  0.0081  0.0459  0.047  0.4157  0.13
Ohlsson 1999   13  0.8326  0.0027  0.0729  0.273  0.6126  0.41
Osinska 1989   26  0.8153  0.0044  0.0643  0.111  0.6041  0.26
Pachmann 1927   76  0.5688  0.0078  0.0453  0.0421  0.4159  0.13
Paderewski 1930   46  0.7469  0.0066  0.0460  0.047  0.4458  0.13
Perlemuter 1992   37  0.7681  0.0028  0.0633  0.232  0.5731  0.36
Pierdomenico 2008   51  0.7383  0.0058  0.0451  0.046  0.4651  0.14
Poblocka 1999   14  0.8321  0.0112  0.1213  0.362  0.5916  0.46
Rabcewiczowa 1932   54  0.7284  0.0062  0.0368  0.0312  0.4565  0.12
Rachmaninoff 1923   59  0.6951  0.0032  0.0632  0.233  0.5432  0.35
Rangell 2001   48  0.7448  0.0060  0.0365  0.037  0.4279  0.11
Richter 1976   56  0.7038  0.0064  0.0375  0.0310  0.4075  0.11
Rosen 1989   31  0.7825  0.0136  0.0738  0.173  0.6436  0.33
Rosenthal 1930   47  0.7485  0.0057  0.0455  0.043  0.5749  0.15
Rosenthal 1931   71  0.6264  0.0073  0.0382  0.039  0.4968  0.12
Rosenthal 1931b   72  0.6075  0.0074  0.0374  0.036  0.5172  0.12
Rosenthal 1931c   41  0.7554  0.0056  0.0376  0.036  0.5962  0.13
Rosenthal 1931d   68  0.6578  0.0075  0.0378  0.036  0.4771  0.12
Rossi 2007   85  0.3689  0.0082  0.0388  0.0323  0.1984  0.08
Rubinstein 1939   84  0.3944  0.0088  0.0386  0.0339  0.1687  0.07
Rubinstein 1952   65  0.6632  0.0079  0.0458  0.0428  0.2980  0.11
Rubinstein 1966   52  0.7243  0.0071  0.0464  0.049  0.5152  0.14
Schilhawsky 1960   30  0.7911  0.0311  0.1012  0.391  0.6212  0.49
Shebanova 2002   45  0.7559  0.0063  0.0367  0.0312  0.4870  0.12
Smith 1975   6  0.861  0.191  0.191  0.611  0.703  0.65
Sokolov 2002   10  0.8529  0.0024  0.0525  0.281  0.5924  0.41
Sztompka 1959   42  0.7536  0.0053  0.0371  0.0315  0.4376  0.11
Tomsic 1995   12  0.8428  0.0025  0.0524  0.294  0.5725  0.41
Uninsky 1932   64  0.6737  0.0052  0.0448  0.048  0.4653  0.14
Uninsky 1971   38  0.7566  0.0048  0.0547  0.056  0.4947  0.16
Wasowski 1980   60  0.6970  0.0047  0.0449  0.041  0.4556  0.13
Zak 1937   36  0.7746  0.0041  0.0541  0.124  0.5442  0.25
Zak 1951   35  0.7745  0.0021  0.0615  0.363  0.6115  0.47
Average   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 1   90  -0.0890  0.0091  0.0191  0.0172  0.0391  0.02
Random 2   91  -0.1091  0.0090  0.0290  0.0271  0.0290  0.02
Random 3   89  0.0882  0.0089  0.0289  0.0263  0.0489  0.03

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).