Friedman 1923b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.7921  0.0012  0.1410  0.5432  0.2817  0.39
Anderszewski 2003   16  0.7445  0.0020  0.0837  0.3322  0.2627  0.29
Ashkenazy 1981   21  0.727  0.0017  0.0925  0.4323  0.2918  0.35
Bacha 2000   41  0.6346  0.0045  0.0747  0.0762  0.0451  0.05
Badura 1965   19  0.7347  0.0039  0.0928  0.4022  0.4513  0.42
Barbosa 1983   52  0.5961  0.0065  0.0561  0.0539  0.1148  0.07
Biret 1990   59  0.5731  0.0062  0.0468  0.0479  0.0382  0.03
Blet 2003   54  0.599  0.0052  0.0560  0.0552  0.0654  0.05
Block 1995   61  0.5762  0.0051  0.0556  0.0546  0.0657  0.05
Blumental 1952   57  0.5848  0.0043  0.0544  0.1272  0.0449  0.07
Boshniakovich 1969   31  0.6863  0.0030  0.1020  0.4624  0.3814  0.42
Brailowsky 1960   39  0.6432  0.0054  0.0472  0.0443  0.1247  0.07
Bunin 1987   73  0.4549  0.0050  0.0746  0.0732  0.2541  0.13
Bunin 1987b   74  0.4364  0.0049  0.0748  0.0733  0.2437  0.13
Chiu 1999   26  0.7150  0.0040  0.0840  0.2429  0.2332  0.23
Cohen 1997   77  0.3565  0.0085  0.0287  0.0282  0.0289  0.02
Cortot 1951   38  0.6466  0.0046  0.0649  0.0637  0.1446  0.09
Csalog 1996   87  0.2233  0.0078  0.0377  0.0378  0.0377  0.03
Czerny 1949   9  0.7915  0.006  0.176  0.639  0.536  0.58
Czerny 1990   15  0.7467  0.0019  0.0822  0.4433  0.1629  0.27
Duchoud 2007   72  0.4522  0.0071  0.0650  0.0663  0.0456  0.05
Ezaki 2006   6  0.8034  0.0014  0.0823  0.4315  0.3915  0.41
Falvay 1989   83  0.2911  0.0087  0.0383  0.0384  0.0286  0.02
Farrell 1958   37  0.6451  0.0058  0.0378  0.0366  0.0473  0.03
Ferenczy 1958   45  0.6168  0.0044  0.0843  0.1533  0.1239  0.13
Fliere 1977   10  0.7810  0.0013  0.0819  0.4734  0.2023  0.31
Fou 1978   58  0.5769  0.0066  0.0559  0.0587  0.0274  0.03
Francois 1956   65  0.5270  0.0068  0.0563  0.0560  0.0471  0.04
Friedman 1923   1  1.001  0.991  0.981  0.991  0.991  0.99
Friedman 1923b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1930   2  0.952  0.002  0.752  0.832  0.872  0.85
Garcia 2007   44  0.6252  0.0055  0.0473  0.0467  0.0467  0.04
Garcia 2007b   42  0.6371  0.0042  0.1538  0.3166  0.0445  0.11
Gierzod 1998   27  0.7112  0.0018  0.1217  0.4835  0.2024  0.31
Gornostaeva 1994   60  0.5735  0.0048  0.0652  0.0655  0.0558  0.05
Groot 1988   68  0.5153  0.0070  0.0845  0.0874  0.0450  0.06
Harasiewicz 1955   11  0.7736  0.0021  0.0811  0.5430  0.2220  0.34
Hatto 1993   5  0.8614  0.004  0.265  0.693  0.655  0.67
Hatto 1997   4  0.8772  0.005  0.324  0.693  0.654  0.67
Horowitz 1949   30  0.6873  0.0024  0.0913  0.5219  0.4611  0.49
Indjic 1988   3  0.8737  0.003  0.293  0.703  0.653  0.67
Kapell 1951   63  0.5516  0.0038  0.0735  0.3359  0.0444  0.11
Kissin 1993   34  0.6554  0.0033  0.0826  0.4256  0.0438  0.13
Kushner 1989   46  0.6155  0.0063  0.0467  0.0481  0.0375  0.03
Luisada 1991   7  0.8023  0.0010  0.1618  0.4713  0.3516  0.41
Lushtak 2004   35  0.6574  0.0061  0.0471  0.0485  0.0380  0.03
Malcuzynski 1961   67  0.5117  0.0022  0.0641  0.2322  0.2531  0.24
Magaloff 1978   64  0.5575  0.0067  0.0565  0.0561  0.0553  0.05
Magin 1975   36  0.6518  0.0031  0.1032  0.3660  0.0442  0.12
Michalowski 1933   51  0.6076  0.0025  0.0731  0.3729  0.2722  0.32
Milkina 1970   49  0.6024  0.0047  0.0555  0.0576  0.0365  0.04
Mohovich 1999   48  0.6019  0.0056  0.0558  0.0584  0.0469  0.04
Moravec 1969   75  0.384  0.0077  0.0386  0.0364  0.0472  0.03
Morozova 2008   17  0.7438  0.0028  0.0730  0.3731  0.2328  0.29
Neighaus 1950   12  0.7739  0.009  0.168  0.5714  0.469  0.51
Niedzielski 1931   13  0.753  0.0011  0.1716  0.507  0.5110  0.50
Ohlsson 1999   32  0.6777  0.0037  0.0839  0.2857  0.0543  0.12
Osinska 1989   28  0.7078  0.0036  0.0729  0.3849  0.0633  0.15
Pachmann 1927   69  0.5079  0.0075  0.0385  0.0382  0.0288  0.02
Paderewski 1930   66  0.5280  0.0069  0.0651  0.0657  0.0366  0.04
Perlemuter 1992   50  0.6020  0.0057  0.0554  0.0552  0.0459  0.04
Pierdomenico 2008   78  0.3440  0.0076  0.0470  0.0478  0.0462  0.04
Poblocka 1999   56  0.5881  0.0041  0.1036  0.3365  0.0536  0.13
Rabcewiczowa 1932   70  0.4856  0.0072  0.0562  0.0583  0.0364  0.04
Rachmaninoff 1923   23  0.7113  0.0035  0.0633  0.3531  0.1930  0.26
Rangell 2001   86  0.2382  0.0080  0.0476  0.0488  0.0281  0.03
Richter 1976   53  0.596  0.0032  0.0842  0.1923  0.4526  0.29
Rosen 1989   33  0.6541  0.0034  0.0734  0.3551  0.0635  0.14
Rosenthal 1930   76  0.3757  0.0074  0.0381  0.0382  0.0379  0.03
Rosenthal 1931   79  0.3125  0.0081  0.0384  0.0362  0.0476  0.03
Rosenthal 1931b   81  0.3026  0.0083  0.0380  0.0376  0.0484  0.03
Rosenthal 1931c   84  0.2827  0.0082  0.0379  0.0360  0.0485  0.03
Rosenthal 1931d   80  0.3083  0.0084  0.0475  0.0477  0.0383  0.03
Rossi 2007   62  0.5642  0.0073  0.0557  0.0557  0.0552  0.05
Rubinstein 1939   55  0.5943  0.0059  0.0474  0.0468  0.0463  0.04
Rubinstein 1952   85  0.2758  0.0079  0.0469  0.0475  0.0470  0.04
Rubinstein 1966   43  0.628  0.0060  0.0566  0.0554  0.0555  0.05
Schilhawsky 1960   24  0.715  0.0023  0.0812  0.5225  0.4412  0.48
Shebanova 2002   29  0.6984  0.0026  0.0721  0.4571  0.0440  0.13
Smith 1975   47  0.6028  0.0053  0.0564  0.0567  0.0461  0.04
Sokolov 2002   71  0.4759  0.0064  0.0553  0.0576  0.0360  0.04
Sztompka 1959   20  0.7229  0.0029  0.0727  0.4166  0.0534  0.14
Tomsic 1995   82  0.2985  0.0086  0.0382  0.0386  0.0287  0.02
Uninsky 1932   22  0.7186  0.008  0.159  0.5611  0.488  0.52
Uninsky 1971   40  0.6344  0.007  0.137  0.597  0.477  0.53
Wasowski 1980   25  0.7130  0.0027  0.0724  0.4327  0.1925  0.29
Zak 1937   14  0.7487  0.0016  0.1715  0.5126  0.2221  0.33
Zak 1951   18  0.7388  0.0015  0.1114  0.5126  0.2319  0.34
Random 1   89  -0.2560  0.0088  0.0189  0.0137  0.1368  0.04
Random 2   88  -0.0889  0.0089  0.0288  0.0245  0.0478  0.03
Random 3   90  -0.2690  0.0090  0.0190  0.0187  0.0290  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).