Luisada 1991

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   53  0.4745  0.0051  0.0552  0.0537  0.1354  0.08
Anderszewski 2003   7  0.6039  0.009  0.1810  0.469  0.528  0.49
Ashkenazy 1981   2  0.682  0.212  0.312  0.737  0.582  0.65
Bacha 2000   40  0.4917  0.0124  0.0634  0.2111  0.5324  0.33
Badura 1965   81  0.3070  0.0075  0.0468  0.0470  0.0469  0.04
Barbosa 1983   58  0.4615  0.0137  0.0841  0.1436  0.2736  0.19
Biret 1990   13  0.5854  0.0031  0.0721  0.3411  0.5217  0.42
Blet 2003   8  0.599  0.0222  0.0716  0.4315  0.4313  0.43
Block 1995   42  0.4856  0.0041  0.0539  0.1629  0.2434  0.20
Blumental 1952   64  0.4216  0.0143  0.0544  0.1035  0.1943  0.14
Boshniakovich 1969   31  0.5334  0.0040  0.0636  0.1932  0.2732  0.23
Brailowsky 1960   19  0.5622  0.0125  0.0633  0.2528  0.3031  0.27
Bunin 1987   44  0.4837  0.0065  0.0467  0.0467  0.0472  0.04
Bunin 1987b   43  0.4878  0.0066  0.0553  0.0576  0.0364  0.04
Chiu 1999   26  0.5444  0.0017  0.0713  0.4414  0.539  0.48
Cohen 1997   84  0.2855  0.0078  0.0469  0.0463  0.0471  0.04
Cortot 1951   82  0.3061  0.0086  0.0380  0.0378  0.0386  0.03
Csalog 1996   80  0.3120  0.0162  0.0649  0.0628  0.3142  0.14
Czerny 1949   72  0.3748  0.0067  0.0473  0.0474  0.0384  0.03
Czerny 1990   18  0.5714  0.0130  0.0719  0.3532  0.2230  0.28
Duchoud 2007   25  0.5471  0.0032  0.0732  0.2730  0.3727  0.32
Ezaki 2006   24  0.5575  0.0039  0.0537  0.1961  0.0449  0.09
Falvay 1989   28  0.5365  0.0020  0.0723  0.3421  0.2928  0.31
Farrell 1958   45  0.4864  0.0059  0.0651  0.0642  0.1450  0.09
Ferenczy 1958   75  0.3586  0.0083  0.0376  0.0359  0.0483  0.03
Fliere 1977   4  0.6340  0.0011  0.139  0.4622  0.3914  0.42
Fou 1978   21  0.5632  0.0016  0.0811  0.4618  0.4311  0.44
Francois 1956   68  0.4036  0.0056  0.0555  0.0561  0.0474  0.04
Friedman 1923   88  0.1776  0.0088  0.0379  0.0366  0.0575  0.04
Friedman 1923b   87  0.1850  0.0087  0.0375  0.0369  0.0485  0.03
Friedman 1930   86  0.2428  0.0079  0.0383  0.0361  0.0482  0.03
Garcia 2007   73  0.3772  0.0064  0.0564  0.0517  0.4341  0.15
Garcia 2007b   52  0.476  0.0312  0.0927  0.331  0.756  0.50
Gierzod 1998   54  0.4651  0.0046  0.0565  0.0533  0.1752  0.09
Gornostaeva 1994   29  0.5389  0.0054  0.0650  0.0668  0.0462  0.05
Groot 1988   33  0.5313  0.0135  0.0642  0.1462  0.0457  0.07
Harasiewicz 1955   50  0.4725  0.0034  0.0731  0.2862  0.0447  0.11
Hatto 1993   17  0.575  0.084  0.194  0.635  0.683  0.65
Hatto 1997   15  0.5735  0.008  0.145  0.555  0.564  0.55
Horowitz 1949   56  0.4631  0.0058  0.0556  0.0570  0.0466  0.04
Indjic 1988   12  0.588  0.025  0.263  0.675  0.691  0.68
Kapell 1951   38  0.5018  0.0152  0.0746  0.0742  0.1251  0.09
Kissin 1993   14  0.5721  0.0110  0.148  0.4718  0.4212  0.44
Kushner 1989   9  0.5966  0.0029  0.0628  0.3221  0.3526  0.33
Luisada 1991   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lushtak 2004   57  0.4679  0.0053  0.0557  0.0566  0.0470  0.04
Malcuzynski 1961   32  0.5359  0.0049  0.0561  0.0565  0.0465  0.04
Magaloff 1978   34  0.5260  0.0038  0.0535  0.2167  0.0353  0.08
Magin 1975   3  0.663  0.153  0.227  0.479  0.527  0.49
Michalowski 1933   61  0.4424  0.0013  0.0924  0.3415  0.4221  0.38
Milkina 1970   35  0.5287  0.0021  0.0922  0.3416  0.3923  0.36
Mohovich 1999   30  0.5380  0.0050  0.0563  0.0545  0.1156  0.07
Moravec 1969   55  0.4641  0.0036  0.0838  0.1628  0.2335  0.19
Morozova 2008   5  0.627  0.037  0.2015  0.4413  0.3919  0.41
Neighaus 1950   23  0.5530  0.0028  0.0720  0.3440  0.1433  0.22
Niedzielski 1931   69  0.3926  0.0061  0.0562  0.0519  0.3044  0.12
Ohlsson 1999   6  0.6062  0.0015  0.1014  0.4415  0.4116  0.42
Osinska 1989   47  0.4857  0.0048  0.0560  0.0526  0.2345  0.11
Pachmann 1927   76  0.3381  0.0068  0.0381  0.0364  0.0478  0.03
Paderewski 1930   66  0.4167  0.0071  0.0382  0.0370  0.0377  0.03
Perlemuter 1992   49  0.4823  0.0057  0.0647  0.0650  0.0558  0.05
Pierdomenico 2008   46  0.4838  0.0044  0.0543  0.1020  0.2639  0.16
Poblocka 1999   20  0.5612  0.0123  0.0718  0.3724  0.2925  0.33
Rabcewiczowa 1932   67  0.4082  0.0074  0.0466  0.0462  0.0463  0.04
Rachmaninoff 1923   59  0.4568  0.0055  0.0648  0.0648  0.0560  0.05
Rangell 2001   41  0.4933  0.0042  0.0540  0.1532  0.2437  0.19
Richter 1976   62  0.4342  0.0073  0.0472  0.0461  0.0467  0.04
Rosen 1989   37  0.5083  0.0045  0.0545  0.1044  0.1346  0.11
Rosenthal 1930   77  0.3258  0.0084  0.0288  0.0272  0.0389  0.02
Rosenthal 1931   79  0.3184  0.0082  0.0377  0.0365  0.0380  0.03
Rosenthal 1931b   78  0.3288  0.0080  0.0386  0.0359  0.0487  0.03
Rosenthal 1931c   83  0.2977  0.0085  0.0385  0.0387  0.0291  0.02
Rosenthal 1931d   74  0.3685  0.0077  0.0471  0.0462  0.0473  0.04
Rossi 2007   85  0.2773  0.0081  0.0387  0.0349  0.0476  0.03
Rubinstein 1939   65  0.4243  0.0063  0.0554  0.0510  0.4440  0.15
Rubinstein 1952   51  0.4749  0.0047  0.0558  0.0528  0.2448  0.11
Rubinstein 1966   22  0.5519  0.0133  0.0726  0.3310  0.5018  0.41
Schilhawsky 1960   70  0.3990  0.0072  0.0384  0.0367  0.0381  0.03
Shebanova 2002   11  0.584  0.096  0.226  0.558  0.535  0.54
Smith 1975   10  0.5929  0.0026  0.0729  0.3245  0.0938  0.17
Sokolov 2002   48  0.4863  0.0060  0.0559  0.0561  0.0559  0.05
Sztompka 1959   60  0.4453  0.0070  0.0470  0.0450  0.0661  0.05
Tomsic 1995   16  0.5727  0.0027  0.0625  0.3321  0.2929  0.31
Uninsky 1932   63  0.4310  0.0169  0.0378  0.0363  0.0568  0.04
Uninsky 1971   71  0.3846  0.0076  0.0374  0.0358  0.0479  0.03
Wasowski 1980   39  0.5011  0.0114  0.0930  0.296  0.5020  0.38
Zak 1937   27  0.5447  0.0018  0.0712  0.4513  0.4710  0.46
Zak 1951   36  0.5174  0.0019  0.0917  0.4116  0.4315  0.42
Average   1  0.711  0.221  0.221  0.7441  0.1922  0.37
Random 1   90  0.0152  0.0091  0.0191  0.0148  0.0590  0.02
Random 2   91  -0.0569  0.0090  0.0190  0.0146  0.0688  0.02
Random 3   89  0.0791  0.0089  0.0289  0.0216  0.3655  0.08

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).