Falvay 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   36  0.4339  0.0035  0.0838  0.1930  0.3138  0.24
Anderszewski 2003   39  0.4241  0.0041  0.0639  0.1823  0.4935  0.30
Ashkenazy 1981   35  0.4359  0.0052  0.0651  0.0646  0.1067  0.08
Bacha 2000   57  0.3727  0.0056  0.0553  0.0530  0.2754  0.12
Badura 1965   55  0.3723  0.0048  0.0648  0.0611  0.5344  0.18
Barbosa 1983   41  0.4144  0.0021  0.0633  0.2931  0.3234  0.30
Biret 1990   22  0.4524  0.0026  0.0529  0.3211  0.6217  0.45
Blet 2003   77  0.2975  0.0082  0.0285  0.0275  0.0390  0.02
Block 1995   44  0.4071  0.0022  0.0727  0.3416  0.5223  0.42
Blumental 1952   27  0.4536  0.0031  0.0626  0.3418  0.5224  0.42
Boshniakovich 1969   72  0.3131  0.0051  0.0649  0.0663  0.0577  0.05
Brailowsky 1960   42  0.417  0.0242  0.0642  0.1228  0.4040  0.22
Bunin 1987   49  0.3947  0.0049  0.0559  0.0524  0.4050  0.14
Bunin 1987b   52  0.3773  0.0050  0.0846  0.0821  0.4243  0.18
Chiu 1999   32  0.4463  0.0043  0.0543  0.1124  0.2842  0.18
Cohen 1997   50  0.3821  0.0044  0.0544  0.1020  0.5539  0.23
Cortot 1951   83  0.2487  0.0077  0.0479  0.0465  0.0585  0.04
Csalog 1996   23  0.454  0.035  0.1518  0.429  0.5115  0.46
Czerny 1949   31  0.4437  0.0032  0.0632  0.3024  0.5526  0.41
Czerny 1990   9  0.4913  0.0113  0.0815  0.4427  0.5214  0.48
Duchoud 2007   67  0.3334  0.0068  0.0473  0.0433  0.2363  0.10
Ezaki 2006   11  0.4810  0.0119  0.1013  0.4410  0.6110  0.52
Falvay 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Farrell 1958   46  0.4028  0.0034  0.0736  0.2316  0.4733  0.33
Ferenczy 1958   14  0.4714  0.0016  0.1010  0.471  0.826  0.62
Fliere 1977   38  0.4267  0.0038  0.0637  0.2051  0.0658  0.11
Fou 1978   6  0.508  0.018  0.157  0.5215  0.558  0.53
Francois 1956   80  0.2868  0.0073  0.0476  0.0431  0.2365  0.10
Friedman 1923   84  0.2384  0.0086  0.0381  0.0368  0.0489  0.03
Friedman 1923b   85  0.2385  0.0085  0.0383  0.0362  0.0583  0.04
Friedman 1930   74  0.3081  0.0075  0.0564  0.0548  0.0771  0.06
Garcia 2007   76  0.2960  0.0074  0.0562  0.0534  0.2164  0.10
Garcia 2007b   63  0.3454  0.0065  0.0647  0.0629  0.2657  0.12
Gierzod 1998   40  0.4242  0.0039  0.0640  0.1735  0.2541  0.21
Gornostaeva 1994   28  0.4535  0.009  0.1412  0.4510  0.629  0.53
Groot 1988   34  0.4345  0.0027  0.0723  0.3621  0.4129  0.38
Harasiewicz 1955   19  0.4633  0.0033  0.0630  0.3246  0.0847  0.16
Hatto 1993   17  0.4777  0.0020  0.0920  0.4028  0.3132  0.35
Hatto 1997   5  0.5112  0.0110  0.149  0.4918  0.4913  0.49
Horowitz 1949   79  0.2878  0.0083  0.0288  0.0247  0.0686  0.03
Indjic 1988   13  0.4838  0.0017  0.0916  0.4423  0.4616  0.45
Kapell 1951   20  0.4619  0.0028  0.0622  0.3824  0.3331  0.35
Kissin 1993   37  0.4215  0.0040  0.0641  0.1533  0.4737  0.27
Kushner 1989   2  0.5311  0.016  0.192  0.6511  0.615  0.63
Luisada 1991   29  0.4446  0.0023  0.0825  0.3518  0.4925  0.41
Lushtak 2004   33  0.4325  0.0029  0.0728  0.3220  0.5028  0.40
Malcuzynski 1961   61  0.3561  0.0058  0.0556  0.0553  0.0575  0.05
Magaloff 1978   64  0.3349  0.0061  0.0569  0.0557  0.0574  0.05
Magin 1975   48  0.3918  0.0054  0.0652  0.0642  0.1861  0.10
Michalowski 1933   87  0.2079  0.0084  0.0286  0.0243  0.1670  0.06
Milkina 1970   4  0.522  0.092  0.404  0.638  0.701  0.66
Mohovich 1999   47  0.4048  0.0053  0.0555  0.0538  0.2559  0.11
Moravec 1969   3  0.533  0.074  0.176  0.584  0.684  0.63
Morozova 2008   45  0.4062  0.0046  0.0560  0.0536  0.2756  0.12
Neighaus 1950   73  0.3082  0.0078  0.0472  0.0465  0.0484  0.04
Niedzielski 1931   78  0.2883  0.0072  0.0568  0.0540  0.1960  0.10
Ohlsson 1999   62  0.3450  0.0069  0.0477  0.0463  0.0481  0.04
Osinska 1989   8  0.495  0.033  0.253  0.638  0.663  0.64
Pachmann 1927   82  0.2686  0.0081  0.0287  0.0253  0.0779  0.04
Paderewski 1930   88  0.1590  0.0088  0.0380  0.0386  0.0387  0.03
Perlemuter 1992   75  0.2957  0.0079  0.0478  0.0451  0.0673  0.05
Pierdomenico 2008   66  0.3340  0.0067  0.0470  0.0441  0.1368  0.07
Poblocka 1999   12  0.4816  0.0025  0.0914  0.4414  0.5512  0.49
Rabcewiczowa 1932   60  0.3617  0.0057  0.0561  0.0540  0.2262  0.10
Rachmaninoff 1923   58  0.3658  0.0060  0.0557  0.0548  0.0769  0.06
Rangell 2001   54  0.3769  0.0047  0.0567  0.0530  0.4151  0.14
Richter 1976   56  0.3753  0.0062  0.0474  0.0478  0.0478  0.04
Rosen 1989   43  0.4143  0.0045  0.0545  0.1036  0.1853  0.13
Rosenthal 1930   68  0.3355  0.0071  0.0563  0.0532  0.4049  0.14
Rosenthal 1931   69  0.3256  0.0063  0.0565  0.0522  0.5345  0.16
Rosenthal 1931b   70  0.3272  0.0070  0.0475  0.0428  0.4652  0.14
Rosenthal 1931c   59  0.3651  0.0055  0.0650  0.0623  0.4448  0.16
Rosenthal 1931d   71  0.3164  0.0066  0.0558  0.0516  0.5046  0.16
Rossi 2007   86  0.2170  0.0080  0.0382  0.0335  0.2566  0.09
Rubinstein 1939   26  0.4522  0.0012  0.1211  0.4612  0.5411  0.50
Rubinstein 1952   24  0.4526  0.0014  0.0917  0.4225  0.4918  0.45
Rubinstein 1966   10  0.4820  0.0011  0.128  0.5025  0.3722  0.43
Schilhawsky 1960   81  0.2652  0.0087  0.0384  0.0382  0.0388  0.03
Shebanova 2002   18  0.4630  0.0030  0.0734  0.2936  0.3136  0.30
Smith 1975   25  0.456  0.0215  0.0924  0.3619  0.5120  0.43
Sokolov 2002   53  0.3788  0.0064  0.0566  0.0538  0.2755  0.12
Sztompka 1959   65  0.3380  0.0076  0.0471  0.0476  0.0480  0.04
Tomsic 1995   7  0.499  0.017  0.245  0.623  0.702  0.66
Uninsky 1932   51  0.3776  0.0059  0.0554  0.0568  0.0482  0.04
Uninsky 1971   21  0.4674  0.0018  0.0819  0.4120  0.4621  0.43
Wasowski 1980   30  0.4465  0.0024  0.1021  0.3922  0.4919  0.44
Zak 1937   15  0.4732  0.0037  0.0735  0.2614  0.5130  0.36
Zak 1951   16  0.4729  0.0036  0.0931  0.3111  0.5227  0.40
Average   1  0.651  0.621  0.611  0.8827  0.377  0.57
Random 1   90  -0.0266  0.0089  0.0190  0.0123  0.3572  0.06
Random 2   89  0.0089  0.0090  0.0289  0.0243  0.1476  0.05
Random 3   91  -0.1291  0.0091  0.0191  0.0181  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).