Milkina 1970

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.7317  0.0017  0.1617  0.534  0.6410  0.58
Ashkenazy 1981   12  0.745  0.0219  0.1719  0.5123  0.2220  0.33
Beliavsky 2004   32  0.6912  0.0024  0.1524  0.3212  0.4417  0.38
BenOr 1989   6  0.7610  0.008  0.145  0.6825  0.2616  0.42
Biret 1990   33  0.6915  0.0027  0.1027  0.2320  0.3922  0.30
Blet 2003   41  0.6731  0.0032  0.0632  0.1149  0.0542  0.07
Block 1995   52  0.6352  0.0054  0.0559  0.0539  0.0754  0.06
Brailowsky 1960   59  0.6055  0.0061  0.0461  0.0436  0.0945  0.06
Chiu 1999   50  0.6559  0.0034  0.0642  0.0654  0.0559  0.05
Clidat 1994   17  0.7341  0.0011  0.1115  0.569  0.4514  0.50
Cohen 1997   62  0.5716  0.0043  0.0553  0.054  0.6927  0.19
Coop 1987   19  0.729  0.0120  0.178  0.6343  0.0626  0.19
Cortot 1951   60  0.5950  0.0063  0.0649  0.0619  0.3634  0.15
Czerny 1949   51  0.6461  0.0046  0.0645  0.0645  0.0651  0.06
Czerny 1949b   44  0.6653  0.0048  0.0735  0.0756  0.0461  0.05
Ezaki 2006   29  0.6940  0.0035  0.0647  0.0657  0.0557  0.05
Falvay 1989   30  0.6926  0.0041  0.0644  0.0644  0.0746  0.06
Ferenczy 1958   55  0.6154  0.0057  0.0463  0.0435  0.0949  0.06
Fiorentino 1962   47  0.6633  0.0049  0.0734  0.0752  0.0656  0.06
Fliere 1977   15  0.7337  0.0018  0.1520  0.4935  0.0925  0.21
Fou 1978   26  0.7051  0.0030  0.0628  0.1555  0.0539  0.09
Francois 1956   37  0.6839  0.0037  0.0648  0.0610  0.5229  0.18
Hatto 1997   5  0.778  0.0113  0.1210  0.623  0.754  0.68
Horowitz 1971   46  0.667  0.0125  0.1226  0.2411  0.4818  0.34
Horowitz 1985   58  0.6044  0.0055  0.0460  0.049  0.5333  0.15
Indjic 2001   4  0.7720  0.0014  0.229  0.633  0.783  0.70
Kapell 1951   34  0.6846  0.0040  0.0643  0.0652  0.0648  0.06
Kiepura 1999   38  0.6719  0.0052  0.0640  0.0645  0.0644  0.06
Kilenyi 1937   49  0.6560  0.0042  0.0733  0.0753  0.0650  0.06
Kissin 1993   10  0.7424  0.0016  0.1511  0.5837  0.0923  0.23
Kitain 1937   63  0.4157  0.0062  0.0558  0.058  0.5232  0.16
Kushner 1990   9  0.7522  0.005  0.236  0.6612  0.539  0.59
Levy 1951   61  0.5942  0.0058  0.0557  0.0539  0.0660  0.05
Luisada 1990   53  0.6347  0.0059  0.0554  0.0550  0.0663  0.05
Lushtak 2004   7  0.7629  0.009  0.157  0.659  0.636  0.64
Lympany 1968   27  0.6958  0.0031  0.0631  0.1229  0.2130  0.16
Magaloff 1977   23  0.7134  0.0038  0.0641  0.0650  0.0652  0.06
Magaloff 1977b   24  0.7136  0.0039  0.0738  0.0732  0.1736  0.11
Magin 1975   42  0.6643  0.0053  0.0550  0.0543  0.0747  0.06
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   18  0.726  0.0115  0.1313  0.576  0.698  0.63
Nadelmann 1956   28  0.6913  0.0022  0.1523  0.3817  0.2721  0.32
Ohlsson 1999   31  0.6938  0.0028  0.0729  0.1441  0.0737  0.10
Olejniczac 1990   43  0.6662  0.0047  0.0737  0.0751  0.0653  0.06
Olejniczak 1991   36  0.6825  0.0033  0.0736  0.0737  0.0940  0.08
Osinska 1989   3  0.8030  0.003  0.213  0.7526  0.3115  0.48
Paderewski 1912   45  0.6663  0.0036  0.0555  0.0532  0.1143  0.07
Perahia 1994   25  0.702  0.0312  0.1316  0.542  0.757  0.64
Perlemuter 1986   11  0.743  0.034  0.244  0.743  0.742  0.74
Poblocka 1999   40  0.6735  0.0050  0.0551  0.0534  0.0941  0.07
Rangell 2001   22  0.7127  0.0026  0.0925  0.2630  0.1824  0.22
Risler 1920   57  0.6066  0.0056  0.0462  0.0450  0.0658  0.05
Rosen 1989   54  0.6232  0.0060  0.0556  0.0556  0.0564  0.05
Rubinstein 1939   14  0.7311  0.006  0.1312  0.584  0.775  0.67
Rubinstein 1952   8  0.7514  0.007  0.1614  0.5712  0.5212  0.54
Rubinstein 1966   2  0.804  0.022  0.392  0.805  0.751  0.77
Rummel 1943   56  0.6048  0.0051  0.0552  0.0516  0.2835  0.12
Shebanova 2002   13  0.7318  0.0021  0.1821  0.4636  0.0728  0.18
Smith 1975   20  0.7128  0.0010  0.1718  0.537  0.4913  0.51
Szpilman 1948   39  0.6723  0.0029  0.0630  0.1447  0.0638  0.09
Uninsky 1971   21  0.7121  0.0023  0.0922  0.3919  0.2819  0.33
Wasowski 1980   35  0.6845  0.0044  0.0646  0.0615  0.4431  0.16
Weissenberg 1971   48  0.6549  0.0045  0.0639  0.0656  0.0562  0.05
Average   1  0.851  0.791  0.781  0.9226  0.3311  0.55
Random 1    66  -0.0464  0.0065  0.0265  0.0249  0.0366  0.02
Random 2   64  0.0465  0.0064  0.0364  0.0334  0.0665  0.04
Random 3   65  -0.0256  0.0066  0.0166  0.0110  0.4155  0.06

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).