Friedman 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.7674  0.0018  0.1320  0.4544  0.1426  0.25
Anderszewski 2003   12  0.7630  0.0021  0.0834  0.3427  0.2520  0.29
Ashkenazy 1981   28  0.7049  0.0020  0.1023  0.4335  0.2021  0.29
Bacha 2000   51  0.6084  0.0051  0.0653  0.0674  0.0359  0.04
Badura 1965   24  0.7025  0.0035  0.0731  0.3828  0.4213  0.40
Barbosa 1983   63  0.5771  0.0058  0.0385  0.0347  0.0755  0.05
Biret 1990   61  0.5738  0.0066  0.0469  0.0468  0.0467  0.04
Blet 2003   60  0.5755  0.0071  0.0656  0.0683  0.0365  0.04
Block 1995   69  0.5667  0.0052  0.0657  0.0668  0.0456  0.05
Blumental 1952   54  0.6062  0.0046  0.0750  0.0788  0.0357  0.05
Boshniakovich 1969   20  0.7224  0.0025  0.0818  0.4727  0.3611  0.41
Brailowsky 1960   32  0.6763  0.0047  0.0747  0.0745  0.0947  0.08
Bunin 1987   72  0.4668  0.0050  0.0748  0.0737  0.2341  0.13
Bunin 1987b   75  0.4476  0.0049  0.0749  0.0737  0.2340  0.13
Chiu 1999   29  0.7015  0.0039  0.0842  0.2339  0.1531  0.19
Cohen 1997   83  0.3385  0.0086  0.0288  0.0284  0.0289  0.02
Cortot 1951   41  0.6437  0.0053  0.0558  0.0555  0.0469  0.04
Csalog 1996   88  0.2310  0.0177  0.0468  0.0488  0.0278  0.03
Czerny 1949   8  0.7939  0.006  0.226  0.6118  0.496  0.55
Czerny 1990   14  0.763  0.0214  0.1215  0.4933  0.1623  0.28
Duchoud 2007   74  0.448  0.0162  0.0380  0.0372  0.0379  0.03
Ezaki 2006   7  0.8043  0.0015  0.0824  0.4326  0.3015  0.36
Falvay 1989   82  0.3450  0.0088  0.0379  0.0378  0.0287  0.02
Farrell 1958   46  0.6256  0.0054  0.0561  0.0585  0.0361  0.04
Ferenczy 1958   44  0.6318  0.0048  0.0655  0.0645  0.0850  0.07
Fliere 1977   9  0.7821  0.0019  0.0814  0.4943  0.1424  0.26
Fou 1978   62  0.5740  0.0059  0.0376  0.0360  0.0474  0.03
Francois 1956   66  0.5686  0.0072  0.0846  0.0884  0.0358  0.05
Friedman 1923   1  0.952  0.162  0.811  0.872  0.832  0.85
Friedman 1923b   2  0.951  0.671  0.672  0.872  0.831  0.85
Friedman 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007   48  0.6212  0.0157  0.0471  0.0472  0.0380  0.03
Garcia 2007b   47  0.6213  0.0141  0.1139  0.2946  0.0739  0.14
Gierzod 1998   21  0.7287  0.0013  0.1317  0.4839  0.1622  0.28
Gornostaeva 1994   35  0.669  0.0142  0.1138  0.2940  0.1035  0.17
Groot 1988   71  0.5032  0.0061  0.0384  0.0358  0.0568  0.04
Harasiewicz 1955   11  0.766  0.0123  0.109  0.5446  0.0732  0.19
Hatto 1993   6  0.8164  0.004  0.255  0.647  0.585  0.61
Hatto 1997   4  0.8333  0.005  0.334  0.645  0.584  0.61
Horowitz 1949   33  0.6778  0.0030  0.0822  0.4427  0.429  0.43
Indjic 1988   3  0.8329  0.003  0.283  0.645  0.593  0.61
Kapell 1951   58  0.584  0.0129  0.0933  0.3573  0.0345  0.10
Kissin 1993   38  0.6489  0.0034  0.0732  0.3773  0.0343  0.11
Kushner 1989   45  0.6222  0.0068  0.0652  0.0677  0.0362  0.04
Luisada 1991   13  0.7657  0.0012  0.1121  0.4521  0.3014  0.37
Lushtak 2004   43  0.6317  0.0067  0.0465  0.0474  0.0382  0.03
Malcuzynski 1961   68  0.5642  0.0031  0.0841  0.2522  0.2625  0.25
Magaloff 1978   55  0.5979  0.0055  0.0563  0.0546  0.0948  0.07
Magin 1975   34  0.6631  0.0022  0.0729  0.4048  0.0733  0.17
Michalowski 1933   39  0.6458  0.0026  0.0727  0.4129  0.2716  0.33
Milkina 1970   53  0.6014  0.0056  0.0562  0.0588  0.0363  0.04
Mohovich 1999   49  0.6190  0.0064  0.0386  0.0376  0.0483  0.03
Moravec 1969   77  0.4223  0.0076  0.0560  0.0557  0.0552  0.05
Morozova 2008   27  0.7027  0.0033  0.0837  0.3040  0.1430  0.20
Neighaus 1950   10  0.7751  0.008  0.117  0.5519  0.438  0.49
Niedzielski 1931   16  0.7516  0.007  0.1212  0.5114  0.497  0.50
Ohlsson 1999   36  0.6520  0.0038  0.0740  0.2647  0.0642  0.12
Osinska 1989   17  0.7319  0.0036  0.0930  0.3955  0.0537  0.14
Pachmann 1927   56  0.5936  0.0079  0.0473  0.0475  0.0377  0.03
Paderewski 1930   57  0.5869  0.0065  0.0383  0.0373  0.0376  0.03
Perlemuter 1992   50  0.6070  0.0070  0.0654  0.0671  0.0453  0.05
Pierdomenico 2008   85  0.3159  0.0080  0.0374  0.0372  0.0472  0.03
Poblocka 1999   59  0.5880  0.0043  0.0844  0.1561  0.0546  0.09
Rabcewiczowa 1932   70  0.5341  0.0073  0.0751  0.0770  0.0454  0.05
Rachmaninoff 1923   23  0.7172  0.0037  0.1035  0.3339  0.1329  0.21
Rangell 2001   86  0.2775  0.0084  0.0378  0.0388  0.0290  0.02
Richter 1976   65  0.5660  0.0044  0.0745  0.1529  0.4028  0.24
Rosen 1989   37  0.6528  0.0040  0.0936  0.3276  0.0444  0.11
Rosenthal 1930   76  0.4345  0.0075  0.0466  0.0470  0.0381  0.03
Rosenthal 1931   78  0.3766  0.0082  0.0470  0.0478  0.0464  0.04
Rosenthal 1931b   79  0.3765  0.0083  0.0382  0.0373  0.0485  0.03
Rosenthal 1931c   81  0.3591  0.0081  0.0375  0.0375  0.0386  0.03
Rosenthal 1931d   80  0.3677  0.0085  0.0472  0.0488  0.0284  0.03
Rossi 2007   67  0.567  0.0174  0.0467  0.0463  0.0560  0.04
Rubinstein 1939   64  0.5744  0.0063  0.0377  0.0365  0.0473  0.03
Rubinstein 1952   87  0.2561  0.0078  0.0564  0.0580  0.0470  0.04
Rubinstein 1966   52  0.6035  0.0069  0.0559  0.0573  0.0466  0.04
Schilhawsky 1960   31  0.6826  0.0032  0.1119  0.4640  0.2217  0.32
Shebanova 2002   30  0.6946  0.0028  0.0926  0.4148  0.0538  0.14
Smith 1975   40  0.645  0.0145  0.0843  0.1681  0.0349  0.07
Sokolov 2002   73  0.4652  0.0060  0.0381  0.0380  0.0371  0.03
Sztompka 1959   19  0.7247  0.0024  0.0825  0.4148  0.0734  0.17
Tomsic 1995   84  0.3281  0.0087  0.0387  0.0383  0.0375  0.03
Uninsky 1932   26  0.7054  0.009  0.1113  0.5124  0.3710  0.43
Uninsky 1971   42  0.6448  0.0010  0.1716  0.4935  0.3312  0.40
Wasowski 1980   22  0.7273  0.0027  0.0928  0.4035  0.1427  0.24
Zak 1937   18  0.7234  0.0017  0.1011  0.5237  0.1619  0.29
Zak 1951   25  0.7011  0.0116  0.098  0.5434  0.1818  0.31
Average   5  0.8253  0.0011  0.1710  0.5358  0.0436  0.15
Random 1   91  -0.2582  0.0089  0.0290  0.0231  0.1851  0.06
Random 2   89  -0.1383  0.0090  0.0289  0.0265  0.0388  0.02
Random 3   90  -0.2488  0.0091  0.0191  0.0179  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).