Average

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   40  0.5617  0.0129  0.0933  0.251  0.7733  0.44
Anderszewski 2003   80  0.4071  0.0078  0.0382  0.036  0.6985  0.14
Ashkenazy 1981   4  0.724  0.103  0.231  0.752  0.911  0.83
Bacha 2000   76  0.4588  0.0075  0.0474  0.044  0.6876  0.16
Badura 1965   75  0.4538  0.0074  0.0381  0.032  0.7782  0.15
Barbosa 1983   44  0.5558  0.0048  0.0563  0.051  0.8056  0.20
Biret 1990   79  0.4478  0.0085  0.0561  0.059  0.7161  0.19
Blet 2003   30  0.6026  0.0034  0.0732  0.251  0.8331  0.46
Block 1995   13  0.6514  0.0113  0.1310  0.571  0.8711  0.70
Blumental 1952   68  0.4853  0.0060  0.0470  0.042  0.7965  0.18
Boshniakovich 1969   33  0.5823  0.0019  0.0818  0.461  0.8517  0.63
Brailowsky 1960   78  0.4455  0.0077  0.0467  0.041  0.7863  0.18
Bunin 1987   53  0.5379  0.0054  0.0846  0.083  0.7846  0.25
Bunin 1987b   51  0.5384  0.0053  0.0653  0.063  0.7851  0.22
Chiu 1999   2  0.7221  0.009  0.138  0.601  0.898  0.73
Cohen 1997   57  0.5285  0.0062  0.0555  0.056  0.6866  0.18
Cortot 1951   69  0.4841  0.0073  0.0479  0.045  0.7274  0.17
Csalog 1996   61  0.5181  0.0070  0.0473  0.045  0.7171  0.17
Czerny 1949   84  0.3472  0.0086  0.0564  0.0521  0.6764  0.18
Czerny 1990   49  0.5433  0.0057  0.0748  0.076  0.8448  0.24
Duchoud 2007   32  0.5869  0.0032  0.0731  0.251  0.8232  0.45
Ezaki 2006   65  0.4973  0.0061  0.0468  0.046  0.7467  0.17
Falvay 1989   55  0.5339  0.0055  0.0557  0.051  0.7658  0.19
Farrell 1958   74  0.4656  0.0067  0.0466  0.043  0.7168  0.17
Ferenczy 1958   87  0.2474  0.0087  0.0475  0.0427  0.6378  0.16
Fliere 1977   1  0.741  0.221  0.223  0.741  0.912  0.82
Fou 1978   25  0.6127  0.0021  0.0925  0.391  0.8425  0.57
Francois 1956   71  0.4675  0.0076  0.0558  0.0511  0.7162  0.19
Friedman 1923   17  0.6425  0.0023  0.1317  0.464  0.8618  0.63
Friedman 1923b   18  0.6416  0.0122  0.0816  0.494  0.8716  0.65
Friedman 1930   12  0.658  0.0314  0.1115  0.493  0.8715  0.65
Garcia 2007   60  0.5245  0.0045  0.0545  0.101  0.7945  0.28
Garcia 2007b   72  0.4680  0.0071  0.0476  0.048  0.7175  0.17
Gierzod 1998   82  0.3735  0.0065  0.0472  0.046  0.7572  0.17
Gornostaeva 1994   54  0.5350  0.0058  0.0747  0.074  0.8147  0.24
Groot 1988   9  0.6822  0.007  0.147  0.651  0.907  0.76
Harasiewicz 1955   6  0.7011  0.0210  0.169  0.591  0.889  0.72
Hatto 1993   15  0.659  0.0211  0.1321  0.444  0.8322  0.60
Hatto 1997   37  0.5746  0.0041  0.0540  0.133  0.8040  0.32
Horowitz 1949   34  0.5820  0.0144  0.0543  0.111  0.8444  0.30
Indjic 1988   23  0.6140  0.0025  0.1026  0.364  0.8327  0.55
Kapell 1951   36  0.5851  0.0043  0.0542  0.121  0.7742  0.30
Kissin 1993   52  0.5361  0.0046  0.0559  0.053  0.8554  0.21
Kushner 1989   21  0.6324  0.0028  0.0930  0.312  0.8529  0.51
Luisada 1991   14  0.6543  0.0026  0.0924  0.391  0.8724  0.58
Lushtak 2004   64  0.5089  0.0069  0.0471  0.041  0.7373  0.17
Malcuzynski 1961   26  0.6137  0.0030  0.0829  0.321  0.8230  0.51
Magaloff 1978   24  0.6128  0.0020  0.1019  0.451  0.8619  0.62
Magin 1975   59  0.5259  0.0059  0.0749  0.079  0.7849  0.23
Michalowski 1933   38  0.5736  0.0039  0.0439  0.131  0.7939  0.32
Milkina 1970   81  0.4082  0.0072  0.0477  0.046  0.6877  0.16
Mohovich 1999   48  0.5465  0.0052  0.0651  0.062  0.8053  0.22
Moravec 1969   35  0.5830  0.0027  0.0827  0.351  0.8626  0.55
Morozova 2008   19  0.645  0.096  0.1611  0.571  0.8510  0.70
Neighaus 1950   7  0.692  0.172  0.182  0.741  0.903  0.82
Niedzielski 1931   31  0.6018  0.0131  0.0828  0.351  0.8228  0.54
Ohlsson 1999   10  0.686  0.0312  0.1812  0.561  0.8412  0.69
Osinska 1989   43  0.5563  0.0056  0.0650  0.062  0.8250  0.22
Pachmann 1927   28  0.6048  0.0036  0.0535  0.205  0.8435  0.41
Paderewski 1930   46  0.5560  0.0051  0.0654  0.062  0.8152  0.22
Perlemuter 1992   29  0.6052  0.0037  0.0536  0.182  0.8736  0.40
Pierdomenico 2008   47  0.5442  0.0064  0.0560  0.052  0.7359  0.19
Poblocka 1999   41  0.5647  0.0033  0.1134  0.221  0.8234  0.42
Rabcewiczowa 1932   73  0.4666  0.0081  0.0387  0.038  0.7580  0.15
Rachmaninoff 1923   39  0.5770  0.0042  0.0537  0.151  0.8537  0.36
Rangell 2001   56  0.5213  0.0250  0.0556  0.051  0.7660  0.19
Richter 1976   8  0.6932  0.0015  0.1114  0.523  0.8713  0.67
Rosen 1989   11  0.6710  0.028  0.146  0.671  0.906  0.78
Rosenthal 1930   63  0.5167  0.0066  0.0380  0.035  0.7981  0.15
Rosenthal 1931   85  0.3390  0.0084  0.0469  0.0410  0.7270  0.17
Rosenthal 1931b   83  0.3668  0.0082  0.0386  0.039  0.7783  0.15
Rosenthal 1931c   70  0.4744  0.0063  0.0652  0.065  0.7755  0.21
Rosenthal 1931d   86  0.3283  0.0083  0.0478  0.048  0.6879  0.16
Rossi 2007   88  0.1986  0.0088  0.0383  0.0330  0.2588  0.09
Rubinstein 1939   66  0.4931  0.0068  0.0384  0.034  0.7084  0.14
Rubinstein 1952   58  0.5219  0.0147  0.0562  0.051  0.8157  0.20
Rubinstein 1966   22  0.627  0.0317  0.1022  0.441  0.8121  0.60
Schilhawsky 1960   77  0.4464  0.0079  0.0385  0.039  0.6286  0.14
Shebanova 2002   3  0.7212  0.025  0.204  0.731  0.904  0.81
Smith 1975   67  0.4962  0.0080  0.0288  0.028  0.7187  0.12
Sokolov 2002   50  0.5429  0.0035  0.0441  0.121  0.7841  0.31
Sztompka 1959   16  0.6434  0.0016  0.1013  0.531  0.8514  0.67
Tomsic 1995   62  0.5149  0.0049  0.0465  0.041  0.7669  0.17
Uninsky 1932   5  0.703  0.104  0.185  0.711  0.905  0.80
Uninsky 1971   27  0.6015  0.0118  0.0920  0.451  0.8320  0.61
Wasowski 1980   20  0.6476  0.0024  0.0723  0.421  0.8423  0.59
Zak 1937   42  0.5654  0.0038  0.0538  0.142  0.8238  0.34
Zak 1951   45  0.5557  0.0040  0.0544  0.112  0.8343  0.30
Average   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 1   90  -0.0191  0.0090  0.0290  0.0269  0.0390  0.02
Random 2   89  0.0187  0.0089  0.0289  0.0250  0.0589  0.03
Random 3   91  -0.0677  0.0091  0.0191  0.0187  0.0291  0.01

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).