Anderszewski 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   39  0.5984  0.0049  0.0460  0.0461  0.0582  0.04
Anderszewski 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ashkenazy 1981   49  0.5668  0.0043  0.0643  0.1237  0.1942  0.15
Bacha 2000   48  0.5640  0.0046  0.0550  0.059  0.4341  0.15
Badura 1965   27  0.6249  0.0041  0.0840  0.2215  0.4930  0.33
Barbosa 1983   45  0.587  0.0316  0.1019  0.462  0.678  0.56
Biret 1990   23  0.6227  0.0026  0.1117  0.4921  0.3921  0.44
Blet 2003   63  0.5169  0.0075  0.0548  0.0554  0.0577  0.05
Block 1995   17  0.6419  0.0115  0.1012  0.513  0.676  0.58
Blumental 1952   58  0.5370  0.0059  0.0470  0.0468  0.0483  0.04
Boshniakovich 1969   8  0.689  0.029  0.1310  0.5617  0.5410  0.55
Brailowsky 1960   22  0.6210  0.0245  0.0546  0.0510  0.6340  0.18
Bunin 1987   75  0.4657  0.0052  0.0464  0.0424  0.3952  0.12
Bunin 1987b   78  0.4466  0.0056  0.0461  0.0423  0.3949  0.12
Chiu 1999   50  0.5685  0.0064  0.0547  0.0530  0.1862  0.09
Cohen 1997   86  0.3952  0.0086  0.0387  0.0336  0.1375  0.06
Cortot 1951   70  0.4861  0.0070  0.0382  0.0332  0.3065  0.09
Csalog 1996   84  0.4050  0.0072  0.0386  0.0340  0.1373  0.06
Czerny 1949   14  0.6521  0.0119  0.0714  0.5024  0.4717  0.48
Czerny 1990   5  0.718  0.0210  0.144  0.6410  0.624  0.63
Duchoud 2007   85  0.4026  0.0071  0.0380  0.0337  0.1772  0.07
Ezaki 2006   4  0.7123  0.0111  0.166  0.598  0.645  0.61
Falvay 1989   46  0.5718  0.0154  0.0549  0.0529  0.3647  0.13
Farrell 1958   43  0.5881  0.0035  0.0732  0.3416  0.4723  0.40
Ferenczy 1958   55  0.5374  0.0074  0.0452  0.0428  0.3450  0.12
Fliere 1977   2  0.724  0.064  0.222  0.6619  0.4211  0.53
Fou 1978   18  0.6435  0.0024  0.1015  0.4921  0.4120  0.45
Francois 1956   69  0.4875  0.0073  0.0376  0.0362  0.0489  0.03
Friedman 1923   38  0.5922  0.0157  0.0471  0.0434  0.3156  0.11
Friedman 1923b   44  0.5841  0.0058  0.0545  0.0536  0.3053  0.12
Friedman 1930   37  0.5976  0.0063  0.0456  0.0435  0.2955  0.11
Garcia 2007   61  0.5258  0.0061  0.0468  0.0430  0.3651  0.12
Garcia 2007b   66  0.5063  0.0050  0.0455  0.0465  0.0484  0.04
Gierzod 1998   10  0.6724  0.0012  0.177  0.5829  0.4115  0.49
Gornostaeva 1994   9  0.676  0.055  0.149  0.572  0.722  0.64
Groot 1988   60  0.5247  0.0030  0.0742  0.2032  0.1839  0.19
Harasiewicz 1955   1  0.732  0.173  0.245  0.5921  0.549  0.56
Hatto 1993   13  0.6530  0.0018  0.0722  0.4532  0.2529  0.34
Hatto 1997   12  0.6564  0.0027  0.0928  0.3836  0.1737  0.25
Horowitz 1949   62  0.5271  0.0068  0.0375  0.0335  0.3258  0.10
Indjic 1988   11  0.6588  0.0021  0.0827  0.4032  0.2334  0.30
Kapell 1951   29  0.6114  0.017  0.1011  0.556  0.4912  0.52
Kissin 1993   25  0.6238  0.0022  0.0720  0.4634  0.3622  0.41
Kushner 1989   7  0.685  0.056  0.138  0.5718  0.567  0.56
Luisada 1991   24  0.6267  0.0032  0.0735  0.3032  0.2835  0.29
Lushtak 2004   32  0.6036  0.0038  0.0831  0.3528  0.3131  0.33
Malcuzynski 1961   34  0.6020  0.0123  0.0721  0.469  0.5016  0.48
Magaloff 1978   47  0.5745  0.0053  0.0469  0.0436  0.1868  0.08
Magin 1975   28  0.6117  0.0114  0.1525  0.4330  0.3028  0.36
Michalowski 1933   80  0.4389  0.0085  0.0383  0.0365  0.0488  0.03
Milkina 1970   6  0.703  0.142  0.213  0.659  0.623  0.63
Mohovich 1999   31  0.6053  0.0025  0.1023  0.4421  0.4819  0.46
Moravec 1969   72  0.4831  0.0077  0.0379  0.0336  0.2067  0.08
Morozova 2008   41  0.5854  0.0033  0.0733  0.3130  0.3332  0.32
Neighaus 1950   36  0.5977  0.0044  0.0544  0.1034  0.1946  0.14
Niedzielski 1931   57  0.5378  0.0065  0.0457  0.0451  0.0581  0.04
Ohlsson 1999   21  0.6333  0.0013  0.1024  0.4333  0.3226  0.37
Osinska 1989   3  0.721  0.291  0.281  0.715  0.661  0.68
Pachmann 1927   74  0.4762  0.0087  0.0465  0.0440  0.1869  0.08
Paderewski 1930   81  0.4379  0.0084  0.0384  0.0380  0.0387  0.03
Perlemuter 1992   65  0.5172  0.0076  0.0373  0.0374  0.0385  0.03
Pierdomenico 2008   87  0.3786  0.0079  0.0377  0.0362  0.0580  0.04
Poblocka 1999   30  0.6016  0.0117  0.1118  0.4721  0.4518  0.46
Rabcewiczowa 1932   68  0.4844  0.0067  0.0462  0.0478  0.0386  0.03
Rachmaninoff 1923   20  0.6329  0.0036  0.0737  0.2633  0.2338  0.24
Rangell 2001   71  0.4855  0.0028  0.0738  0.258  0.5427  0.37
Richter 1976   53  0.5425  0.0048  0.0454  0.0428  0.4348  0.13
Rosen 1989   35  0.5956  0.0034  0.1029  0.3729  0.2833  0.32
Rosenthal 1930   73  0.4790  0.0078  0.0372  0.0328  0.3064  0.09
Rosenthal 1931   76  0.4532  0.0080  0.0378  0.0324  0.3259  0.10
Rosenthal 1931b   79  0.4473  0.0082  0.0381  0.0331  0.2766  0.09
Rosenthal 1931c   77  0.4412  0.0181  0.0466  0.0432  0.2661  0.10
Rosenthal 1931d   83  0.4282  0.0083  0.0385  0.0336  0.2271  0.08
Rossi 2007   54  0.5442  0.0069  0.0374  0.0325  0.3357  0.10
Rubinstein 1939   56  0.5348  0.0060  0.0467  0.0432  0.3154  0.11
Rubinstein 1952   82  0.4328  0.0055  0.0451  0.0447  0.0779  0.05
Rubinstein 1966   16  0.6439  0.0029  0.0726  0.4226  0.3924  0.40
Schilhawsky 1960   52  0.5551  0.0066  0.0453  0.0446  0.0874  0.06
Shebanova 2002   40  0.5946  0.0042  0.0941  0.2272  0.0463  0.09
Smith 1975   26  0.6215  0.0137  0.0839  0.2223  0.3236  0.27
Sokolov 2002   51  0.5543  0.0031  0.0730  0.3613  0.4325  0.39
Sztompka 1959   15  0.6411  0.018  0.1213  0.5128  0.4814  0.49
Tomsic 1995   67  0.4960  0.0051  0.0458  0.0420  0.4745  0.14
Uninsky 1932   59  0.5259  0.0062  0.0463  0.0445  0.0778  0.05
Uninsky 1971   64  0.5165  0.0047  0.0459  0.0455  0.0676  0.05
Wasowski 1980   19  0.6313  0.0120  0.0716  0.4912  0.5113  0.50
Zak 1937   33  0.6037  0.0039  0.1034  0.3049  0.0743  0.14
Zak 1951   42  0.5883  0.0040  0.0836  0.2948  0.0744  0.14
Random 1   88  -0.0634  0.0088  0.0289  0.027  0.4760  0.10
Random 2   90  -0.0980  0.0090  0.0190  0.0155  0.0490  0.02
Random 3   89  -0.0687  0.0089  0.0288  0.0215  0.3170  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).