Ezaki 2006

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   63  0.4245  0.0071  0.0657  0.0638  0.1763  0.10
Anderszewski 2003   21  0.5935  0.0023  0.1015  0.5415  0.5619  0.55
Ashkenazy 1981   64  0.4277  0.0079  0.0380  0.0370  0.0385  0.03
Bacha 2000   45  0.4937  0.0050  0.0649  0.062  0.6246  0.19
Badura 1965   60  0.4221  0.0161  0.0563  0.0532  0.2661  0.11
Barbosa 1983   2  0.676  0.032  0.243  0.714  0.752  0.73
Biret 1990   28  0.5515  0.0128  0.0827  0.3525  0.4231  0.38
Blet 2003   61  0.4284  0.0068  0.0473  0.0439  0.1567  0.08
Block 1995   22  0.593  0.0414  0.1225  0.475  0.7116  0.58
Blumental 1952   15  0.6012  0.0111  0.1318  0.5311  0.6614  0.59
Boshniakovich 1969   66  0.4158  0.0059  0.0656  0.0653  0.0674  0.06
Brailowsky 1960   37  0.5211  0.0130  0.0739  0.1828  0.4241  0.27
Bunin 1987   50  0.4768  0.0046  0.0651  0.0611  0.4849  0.17
Bunin 1987b   48  0.4751  0.0044  0.0838  0.217  0.5732  0.35
Chiu 1999   49  0.4727  0.0045  0.0644  0.1211  0.4543  0.23
Cohen 1997   72  0.3571  0.0073  0.0378  0.0355  0.0486  0.03
Cortot 1951   75  0.3456  0.0072  0.0565  0.0538  0.2562  0.11
Csalog 1996   40  0.5161  0.0037  0.0733  0.2514  0.4733  0.34
Czerny 1949   26  0.5619  0.018  0.1317  0.5326  0.5918  0.56
Czerny 1990   10  0.619  0.0110  0.289  0.6024  0.6110  0.60
Duchoud 2007   84  0.2354  0.0081  0.0384  0.0348  0.0776  0.05
Ezaki 2006   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Falvay 1989   3  0.6613  0.015  0.175  0.706  0.703  0.70
Farrell 1958   41  0.5040  0.0029  0.0830  0.2918  0.5429  0.40
Ferenczy 1958   54  0.4544  0.0063  0.0567  0.0534  0.3058  0.12
Fliere 1977   14  0.6030  0.0020  0.1019  0.5315  0.5122  0.52
Fou 1978   13  0.6025  0.0025  0.1124  0.499  0.5423  0.51
Francois 1956   79  0.2933  0.0076  0.0287  0.0272  0.0488  0.03
Friedman 1923   83  0.2578  0.0085  0.0474  0.0470  0.0482  0.04
Friedman 1923b   82  0.2557  0.0084  0.0475  0.0464  0.0581  0.04
Friedman 1930   81  0.2685  0.0082  0.0381  0.0376  0.0384  0.03
Garcia 2007   74  0.3472  0.0062  0.0561  0.0536  0.2560  0.11
Garcia 2007b   68  0.3938  0.0057  0.0652  0.0648  0.0675  0.06
Gierzod 1998   20  0.5942  0.0015  0.1113  0.5623  0.4525  0.50
Gornostaeva 1994   34  0.5386  0.0040  0.0642  0.1721  0.4442  0.27
Groot 1988   65  0.4262  0.0054  0.0564  0.0566  0.0577  0.05
Harasiewicz 1955   4  0.6410  0.019  0.1710  0.6015  0.6111  0.60
Hatto 1993   32  0.5436  0.0036  0.0735  0.2427  0.3738  0.30
Hatto 1997   29  0.5587  0.0035  0.0831  0.2828  0.4034  0.33
Horowitz 1949   85  0.2363  0.0086  0.0379  0.0369  0.0483  0.03
Indjic 1988   33  0.5464  0.0034  0.0634  0.2530  0.3339  0.29
Kapell 1951   6  0.624  0.044  0.192  0.722  0.751  0.73
Kissin 1993   24  0.5823  0.0127  0.0928  0.3312  0.6126  0.45
Kushner 1989   25  0.5643  0.0026  0.1423  0.5031  0.3627  0.42
Luisada 1991   43  0.5041  0.0056  0.0654  0.0627  0.3753  0.15
Lushtak 2004   35  0.5355  0.0032  0.0532  0.2729  0.4035  0.33
Malcuzynski 1961   11  0.612  0.063  0.176  0.675  0.647  0.65
Magaloff 1978   30  0.5547  0.0033  0.0537  0.2120  0.4536  0.31
Magin 1975   31  0.5548  0.0031  0.0629  0.3018  0.5328  0.40
Michalowski 1933   87  0.2179  0.0078  0.0383  0.0338  0.1473  0.06
Milkina 1970   12  0.615  0.037  0.218  0.6117  0.5515  0.58
Mohovich 1999   16  0.6016  0.0117  0.1412  0.5810  0.629  0.60
Moravec 1969   17  0.6029  0.0013  0.147  0.613  0.736  0.67
Morozova 2008   55  0.4549  0.0051  0.0746  0.0723  0.4148  0.17
Neighaus 1950   86  0.2380  0.0087  0.0382  0.0380  0.0291  0.02
Niedzielski 1931   77  0.3281  0.0075  0.0385  0.0352  0.0680  0.04
Ohlsson 1999   57  0.4514  0.0142  0.0641  0.1717  0.4640  0.28
Osinska 1989   5  0.6417  0.016  0.224  0.7010  0.684  0.69
Pachmann 1927   73  0.3526  0.0060  0.0560  0.0512  0.5451  0.16
Paderewski 1930   88  0.0688  0.0088  0.0288  0.0282  0.0289  0.02
Perlemuter 1992   80  0.2965  0.0083  0.0476  0.0467  0.0478  0.04
Pierdomenico 2008   78  0.3089  0.0077  0.0386  0.0352  0.0579  0.04
Poblocka 1999   8  0.6231  0.0012  0.1520  0.5114  0.5521  0.53
Rabcewiczowa 1932   52  0.4634  0.0043  0.0643  0.1727  0.3244  0.23
Rachmaninoff 1923   42  0.5046  0.0047  0.0559  0.0527  0.3954  0.14
Rangell 2001   56  0.457  0.0152  0.0653  0.0619  0.4850  0.17
Richter 1976   19  0.5924  0.0119  0.0921  0.515  0.6913  0.59
Rosen 1989   39  0.5232  0.0049  0.0650  0.0625  0.3555  0.14
Rosenthal 1930   70  0.3759  0.0074  0.0472  0.0441  0.1369  0.07
Rosenthal 1931   67  0.4073  0.0067  0.0570  0.0529  0.3556  0.13
Rosenthal 1931b   76  0.3350  0.0080  0.0377  0.0371  0.0487  0.03
Rosenthal 1931c   62  0.4269  0.0066  0.0471  0.0438  0.1966  0.09
Rosenthal 1931d   71  0.3674  0.0070  0.0558  0.0535  0.2759  0.12
Rossi 2007   69  0.3722  0.0165  0.0568  0.0528  0.2957  0.12
Rubinstein 1939   47  0.4853  0.0041  0.0645  0.1126  0.3945  0.21
Rubinstein 1952   23  0.5960  0.0022  0.1014  0.5515  0.5620  0.55
Rubinstein 1966   18  0.5928  0.0016  0.1111  0.5922  0.5317  0.56
Schilhawsky 1960   36  0.5266  0.0038  0.0740  0.1713  0.5437  0.30
Shebanova 2002   53  0.4675  0.0058  0.0562  0.0543  0.1468  0.08
Smith 1975   46  0.4818  0.0164  0.0566  0.0549  0.0771  0.06
Sokolov 2002   44  0.4939  0.0039  0.0636  0.236  0.6530  0.39
Sztompka 1959   59  0.4376  0.0069  0.0655  0.0646  0.0772  0.06
Tomsic 1995   27  0.5620  0.0124  0.1226  0.416  0.6324  0.51
Uninsky 1932   58  0.4452  0.0053  0.0747  0.0722  0.5247  0.19
Uninsky 1971   38  0.5290  0.0048  0.0748  0.0733  0.3552  0.16
Wasowski 1980   51  0.4782  0.0055  0.0569  0.0543  0.1664  0.09
Zak 1937   9  0.6170  0.0021  0.1222  0.516  0.6912  0.59
Zak 1951   7  0.628  0.0118  0.1016  0.536  0.718  0.61
Average   1  0.741  0.581  0.581  0.8119  0.595  0.69
Random 1   90  -0.0383  0.0090  0.0290  0.0230  0.2470  0.07
Random 2   89  0.0691  0.0089  0.0289  0.0217  0.3765  0.09
Random 3   91  -0.0867  0.0091  0.0191  0.0152  0.0490  0.02

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).